[{"_1":2,"_341":-5,"_342":-5},"loaderData",{"_3":4,"_12":13},"root",{"_5":-5,"_6":7,"_8":9},"user","hasAccess",false,"h1bUi",{"_10":7,"_11":-5},"enabled","userId","routes/jobs",{"_14":15,"_15":16,"_94":43,"_95":96,"_101":-5,"_102":103},"kind","job",{"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":-5,"_30":-5,"_31":32,"_34":35,"_36":37,"_38":37,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":7,"_49":50,"_51":-5,"_52":53,"_55":56,"_58":-5,"_59":60,"_72":73,"_74":75,"_76":77,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":83,"_84":-5,"_85":7,"_86":87,"_88":7,"_89":90,"_91":-5,"_92":93},"id","1218116c-4d4a-4a67-9970-86386a15ea3c","title","DS / ML Engineer","url","https://jobs.lever.co/epifi/ce14bc02-eb99-47a2-bcd2-435397096dbf","job_description_full","","job_description_summary_short","The DS / ML Engineer role focuses on data science and machine learning engineering. No further responsibilities, qualifications, technologies, or employment details are provided.","job_description_summary_long","The posting provides only the title, “DS / ML Engineer.” It does not specify the role’s day-to-day responsibilities or whether the focus is on model development, data science, or machine learning infrastructure. No education, experience, technology, benefits, work arrangement, or sponsorship requirements are stated. Additional job details are needed for a more specific classification.","employment_type","compensation","seniority",[33],"mid level","date_posted","2026-07-15T12:04:16.163+00:00","created_at","2026-09-05T14:13:08.747029+00:00","updated_at","deleted_at","company","Workloom","company_slug","workloom","profile_pic_url","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/686c38f2-b571-4b3a-8c4d-c75928b551ac.png","career_category","Software Engineering","sponsors_h1b","headcount_range","RANGE_1_10","latest_funding_class","location_ids",[54],1356410365,"sub_categories",[57],"ML Engineering","tech_stack","locations",[61],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},"city","Bengaluru","slug","bengaluru-ind","state","Karnātaka","country","India","country_iso3","IND","requirements",[],"responsibilities",[],"benefits",[],"salary_minvalue","salary_maxvalue","salary_currency","salary_unitText","credential_category","no-requirements","months_of_experience","experience_in_place_of_education","home_page_url","https://tetriz.io","company_sponsors_h1b","h1b_sponsorship_status","unknown","h1b_sponsorship_evidence","company_id","686c38f2-b571-4b3a-8c4d-c75928b551ac","companySlug","companyInfo",{"_17":93,"_97":41,"_64":43,"_86":87,"_98":99,"_49":50,"_100":-5},"name","linkedin_slug","tetriz","description","h1bHistory","similarJobs",[104,172,203,237,265,304],{"_17":105,"_19":106,"_21":107,"_23":108,"_25":109,"_27":110,"_29":-5,"_30":-5,"_31":111,"_34":113,"_36":114,"_38":115,"_39":-5,"_40":116,"_42":117,"_44":118,"_46":47,"_48":119,"_49":120,"_51":-5,"_52":121,"_55":122,"_58":124,"_59":139,"_72":141,"_74":153,"_76":165,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":169,"_84":170,"_85":7,"_86":171},"4d218978-19a8-41da-8c6e-57d974d347ed","IN_Associate_Generative AI Engineer_Emerging Business_Advisory_Bangalore","https://pwc.wd3.myworkdayjobs.com/NonPublic_Postings/job/Bengaluru-Millenia/IN-Senior-Associate-Generative-AI-Engineer-Emerging-Business-Advisory-Bangalore_754178WD-2","

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Associate

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary: We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems.

This role demands deep expertise in Python, PyTorch, and Hugging Face Transformers, along with hands-on experience in deploying solutions on Azure, AWS, or GCP. The candidate should be proficient in using orchestration frameworks like LangChain, developing APIs with FastAPI or Flask, and managing ML pipelines using tools such as MLflow or Weights & Biases. Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines, is essential.

Responsibilities:

Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).

Fine-tune and customize foundation models using domain-specific datasets and techniques

Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.

Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.

Agentic AI implementation expertise using Crew.ai or Lang chain

Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).

Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex

Ensure robustness, scalability, and compliance of AI models in deployment environments.

Good to have experience in finetuning models

Good to have experience in SLM

Integrate GenAI into enterprise applications via APIs or custom interfaces.

Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.

Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

Mandatory skill sets:

Generative AI (LLMs, Transformers)

Python, PyTorch, Hugging Face Transformers

Azure/AWS/GCP cloud platforms

LangChain/Langgraph or similar orchestration frameworks

REST APIs, FastAPI, Flask

ML pipeline tools (MLflow, Weights & Biases)

Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines)

Preferred skill sets:

RAG (Retrieval-Augmented Generation)

Vector DBs (FAISS, Pinecone, Weaviate)

Streamlit/Gradio for prototyping

Docker, Kubernetes (for model deployment)

Data preprocessing & feature engineering

NLP libraries: spaCy, NLTK, Transformers

Years of experience required:

4 to 7 years

Education qualification:

B.E/B.tech/M.tech/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Digital Transformation, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management, Simulation Modeling, Strategic Technology Planning, Teamwork, Technology Innovation {+ 5 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 4, 2026

","PwC is hiring an Associate Generative AI Engineer in Bangalore to design, fine-tune, deploy, and integrate scalable LLM-powered solutions for enterprise clients. The role combines model engineering, agentic AI, cloud deployment, and production ML pipelines.","The engineer will build generative AI solutions using LLMs, transformer architectures, Python, PyTorch, and Hugging Face Transformers. Responsibilities include fine-tuning foundation models, developing prompt strategies and agentic workflows, integrating AI into enterprise applications, and evaluating model performance. The role also involves productionizing models on Azure, AWS, or GCP using orchestration, API, MLOps, and deployment tools. Candidates should have 4–7 years of experience and a BE/BTech/MTech/MCA qualification, with RAG, vector databases, Docker, Kubernetes, and prototyping tools preferred. The position is part of PwC Advisory’s Emerging Technologies practice in Bangalore and does not offer work visa sponsorship.",[33,112],"senior","2026-09-04T00:00:00+00:00","2026-09-04T07:37:12.442363+00:00","2026-09-04T22:37:25.221517+00:00","PwC","pwc","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/580407e5-ce4d-46a5-b11e-4fdd354e5ce5.jpg",true,"RANGE_10000_PLUS",[54],[123,57],"AI Applications",[125,126,127,128,129,130,131,132,133,134,135,136,137,138],"AWS","Azure","Docker","FastAPI","Flask","Git","Google Cloud Platform","Hugging Face Transformers","Kubernetes","MLflow","NLTK","Python","PyTorch","spaCy",[140],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[142,143,144,145,146,147,148,149,150,151,152],"4–7 years of professional experience is required.","A BE, BTech, MTech, or MCA qualification is required; the listed required degree is Bachelor of Technology.","Strong expertise in generative AI, LLMs, and transformer architectures.","Proficiency in Python, PyTorch, and Hugging Face Transformers.","Hands-on experience with Azure, AWS, or GCP cloud platforms.","Experience with LangChain, LangGraph, or similar orchestration frameworks.","Experience developing APIs with FastAPI or Flask.","Experience with ML pipeline tools such as MLflow or Weights & Biases.","Knowledge of Git and ML CI/CD platforms such as Azure ML or SageMaker Pipelines.","Preferred experience includes RAG, vector databases, Streamlit or Gradio, Docker, Kubernetes, data preprocessing, feature engineering, spaCy, and NLTK.","Experience fine-tuning models and working with small language models is preferred.",[154,155,156,157,158,159,160,161,162,163,164],"Design, build, and deploy generative AI solutions using LLMs and transformer models.","Fine-tune and customize foundation models with domain-specific datasets.","Develop prompt engineering strategies for accurate and context-aware responses.","Build model pipelines using Python, PyTorch, Hugging Face Transformers, and LangChain or similar frameworks.","Implement agentic AI solutions using Crew.ai or LangChain.","Collaborate with data engineering and MLOps teams to productionize GenAI models on Azure, AWS, or GCP.","Use cloud AI platforms such as Azure AI Foundry or GCP Vertex.","Integrate GenAI capabilities into enterprise applications through APIs and custom interfaces.","Evaluate model performance with quantitative and qualitative metrics and improve outputs through experimentation.","Ensure deployed AI models are robust, scalable, and compliant.","Track developments in generative AI, foundation models, and open-source tools.",[166,167,168],"PwC offers inclusive benefits, flexibility programs, wellbeing support, mentorship, and professional growth opportunities.","The role is based in Bangalore; travel requirements are not specified.","Work visa sponsorship is not available.","bachelor-degree",48,"https://www.de.pwc.com",{"_17":173,"_19":174,"_21":175,"_23":176,"_25":177,"_27":178,"_29":-5,"_30":-5,"_31":179,"_34":113,"_36":180,"_38":180,"_39":-5,"_40":116,"_42":117,"_44":118,"_46":47,"_48":119,"_49":120,"_51":-5,"_52":181,"_55":182,"_58":183,"_59":184,"_72":186,"_74":194,"_76":200,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":169,"_84":170,"_85":7,"_86":171},"16f2b32c-d9a5-4a21-aa44-77098daba6f8","IN_Senior Associate_Test Automation_Emerging Businesses_Advisory_Bangalore","https://pwc.wd3.myworkdayjobs.com/NonPublic_Postings/job/Bengaluru-Millenia/IN-Senior-Associate-Test-Automation-Emerging-Businesses-Advisory-Bangalore_758300WD","

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & Summary

Why PWC

Job Summary-

We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems.

Responsibilities:

Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).

Fine-tune and customize foundation models using domain-specific datasets and techniques

Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.

Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.

Agentic AI implementation expertise using Crew.ai or Lang chain

Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).

Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex

Ensure robustness, scalability, and compliance of AI models in deployment environments.

Good to have experience in finetuning models

Good to have experience in SLM

Integrate GenAI into enterprise applications via APIs or custom interfaces.

Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.

Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

Mandatory skill sets:

Generative AI (LLMs, Transformers)

Python, PyTorch, Hugging Face Transformers

Azure/AWS/GCP cloud platforms

LangChain/Langgraph or similar orchestration frameworks

REST APIs, FastAPI, Flask

ML pipeline tools (MLflow, Weights & Biases)

Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines)

Preferred skill sets:

RAG (Retrieval-Augmented Generation)

Vector DBs (FAISS, Pinecone, Weaviate)

Streamlit/Gradio for prototyping

Docker, Kubernetes (for model deployment)

Data preprocessing & feature engineering

NLP libraries: spaCy, NLTK, Transformers

Years of experience required:

4 to 7 years

Education qualification:

B.E/B.tech/M.tech/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Test Automation

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management {+ 10 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 18, 2026

","Build and deploy scalable generative AI solutions for enterprise clients using large language models, transformer architectures, and cloud-based ML platforms. The role combines model fine-tuning, agentic workflows, API integration, and production ML operations.","The GenAI Engineer will design, develop, fine-tune, and deploy generative AI solutions using LLMs, transformer architectures, and domain-specific datasets. Responsibilities include prompt engineering, agentic AI implementation, model evaluation, API integration, and productionization across Azure, AWS, or GCP. The role uses Python, PyTorch, Hugging Face Transformers, LangChain or LangGraph, ML pipeline tools, and cloud ML services. Preferred experience includes RAG, vector databases, prototyping interfaces, Docker, Kubernetes, and NLP libraries. The position is part of PwC’s Emerging Technologies Advisory practice and involves collaboration with data engineering and MLOps teams.",[33,112],"2026-09-05T15:54:30.247778+00:00",[54],[123,57],[125,126,127,128,129,130,131,132,133,134,135,136,137,138],[185],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[187,188,189,190,191,192,193],"4 to 7 years of experience is required.","Bachelor of Technology, B.E., B.Tech., M.Tech., or MCA qualification is required.","Required skills include Generative AI, LLMs, Transformers, Python, PyTorch, Hugging Face Transformers, Azure, AWS, GCP, LangChain or LangGraph, REST APIs, FastAPI, Flask, MLflow, Weights & Biases, Git, and ML CI/CD.","Experience with Azure ML or SageMaker Pipelines and cloud AI platforms such as Azure AI Foundry or GCP Vertex is required or expected.","Preferred skills include RAG, FAISS, Pinecone, Weaviate, Streamlit, Gradio, Docker, Kubernetes, data preprocessing, feature engineering, spaCy, and NLTK.","Experience with model fine-tuning and small language models is desirable.","Test automation is listed as a required skill.",[195,196,197,161,198,199],"Design, build, fine-tune, and deploy generative AI solutions using LLMs, transformer architectures, and domain-specific datasets.","Develop prompt engineering strategies, agentic AI workflows, and model pipelines using Python, PyTorch, Hugging Face Transformers, LangChain, or LangGraph.","Productionize GenAI models with data engineering and MLOps teams on Azure, AWS, or GCP platforms.","Evaluate model performance, improve outputs through experimentation, and ensure deployment robustness, scalability, and compliance.","Keep current with GenAI research, foundation models, and open-source tools.",[201,202],"PwC offers inclusive benefits, flexibility programmes, mentorship, wellbeing support, and opportunities for professional growth.","The role is within PwC’s Advisory Emerging Technologies practice in Bangalore; no specific remote, hybrid, or office schedule is stated.",{"_17":204,"_19":174,"_21":205,"_23":206,"_25":207,"_27":208,"_29":-5,"_30":-5,"_31":209,"_34":113,"_36":210,"_38":210,"_39":-5,"_40":116,"_42":117,"_44":118,"_46":47,"_48":119,"_49":120,"_51":-5,"_52":211,"_55":212,"_58":213,"_59":214,"_72":216,"_74":225,"_76":233,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":169,"_84":170,"_85":7,"_86":171},"b3189251-67a7-4e42-bd68-de23210b8811","https://pwc.wd3.myworkdayjobs.com/NonPublic_Postings/job/Bengaluru-Millenia/IN-Senior-Associate-Test-Automation-Emerging-Businesses-Advisory-Bangalore_758440WD","

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & Summary

Why PWC

Job Summary-

Responsibilities:

Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).

Fine-tune and customize foundation models using domain-specific datasets and techniques

Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.

Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.

Agentic AI implementation expertise using Crew.ai or Lang chain

Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).

Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex

Ensure robustness, scalability, and compliance of AI models in deployment environments.

Good to have experience in finetuning models

Good to have experience in SLM

Integrate GenAI into enterprise applications via APIs or custom interfaces.

Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.

Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

Mandatory skill sets:

Generative AI (LLMs, Transformers)

Python, PyTorch, Hugging Face Transformers

Azure/AWS/GCP cloud platforms

LangChain/Langgraph or similar orchestration frameworks

REST APIs, FastAPI, Flask

ML pipeline tools (MLflow, Weights & Biases)

Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines)

Preferred skill sets:

RAG (Retrieval-Augmented Generation)

Vector DBs (FAISS, Pinecone, Weaviate)

Streamlit/Gradio for prototyping

Docker, Kubernetes (for model deployment)

Data preprocessing & feature engineering

NLP libraries: spaCy, NLTK, Transformers

Years of experience required:

4 to 7 years

Education qualification:

B.E/B.tech/M.tech/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Test Automation

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 18, 2026

","PwC is seeking a GenAI Engineer to build, fine-tune, and deploy scalable generative AI solutions using large language models, transformer architectures, and cloud platforms. The role combines AI application development, model orchestration, API integration, and production ML pipelines.","The GenAI Engineer will design, develop, fine-tune, evaluate, and deploy generative AI solutions using LLMs, foundation models, and transformer architectures. Responsibilities include prompt engineering, agentic AI implementation, RAG, API development, cloud deployment, and integration into enterprise applications. The role requires strong expertise in Python, PyTorch, Hugging Face Transformers, LangChain or LangGraph, cloud platforms, and ML pipeline tooling. Candidates should have 4 to 7 years of experience and a B.E., B.Tech., M.Tech., or MCA, with preferred experience in vector databases, Docker, Kubernetes, and prototyping tools. The position is part of PwC’s Emerging Technologies advisory practice and emphasizes scalable, robust, compliant, and production-ready AI systems.",[33,112],"2026-09-05T15:54:42.703701+00:00",[54],[123,57],[125,126,127,128,129,130,131,132,133,134,135,136,137,138],[215],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[217,218,219,145,220,147,221,149,222,223,224],"4 to 7 years of professional experience.","Bachelor of Technology, B.E., B.Tech., M.Tech., or MCA qualification.","Experience with generative AI, LLMs, and transformers.","Experience with Azure, AWS, or GCP cloud platforms and AI services.","Experience developing REST APIs with FastAPI or Flask.","Knowledge of Git and CI/CD for ML, including Azure ML or SageMaker Pipelines.","Preferred experience with RAG, vector databases, Streamlit, Gradio, Docker, Kubernetes, data preprocessing, feature engineering, spaCy, and NLTK.","Required skill set includes Test Automation.",[226,227,228,159,229,230,231,232],"Design, build, fine-tune, and deploy generative AI solutions using LLMs, foundation models, and transformer architectures.","Develop prompt engineering strategies and agentic AI implementations using CrewAI or LangChain.","Implement model pipelines with Python, PyTorch, Hugging Face Transformers, LangChain, or related frameworks.","Integrate generative AI capabilities into enterprise applications through APIs and custom interfaces.","Evaluate model performance using quantitative and qualitative metrics and improve outputs through experimentation.","Ensure AI deployments are robust, scalable, and compliant.","Stay current with GenAI research, foundation models, and open-source tools.",[234,235,236],"PwC offers inclusive benefits, flexibility programs, wellbeing support, mentorship, and a collaborative, innovation-focused work environment.","The role is based in Bangalore; no specific remote or office schedule is stated.","The posting end date is September 18, 2026.",{"_17":238,"_19":174,"_21":239,"_23":240,"_25":241,"_27":242,"_29":-5,"_30":-5,"_31":243,"_34":113,"_36":244,"_38":244,"_39":-5,"_40":116,"_42":117,"_44":118,"_46":47,"_48":119,"_49":120,"_51":-5,"_52":245,"_55":246,"_58":247,"_59":248,"_72":250,"_74":257,"_76":263,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":169,"_84":170,"_85":7,"_86":171},"3d9dd53b-80fa-4cb9-bcdb-dcf86347e522","https://pwc.wd3.myworkdayjobs.com/NonPublic_Postings/job/Bengaluru-Millenia/IN-Senior-Associate-Test-Automation-Emerging-Businesses-Advisory-Bangalore_758420WD","

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

Senior Associate

Job Description & Summary

Why PWC

Job Summary-

Responsibilities:

Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).

Fine-tune and customize foundation models using domain-specific datasets and techniques

Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.

Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.

Agentic AI implementation expertise using Crew.ai or Lang chain

Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).

Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex

Ensure robustness, scalability, and compliance of AI models in deployment environments.

Good to have experience in finetuning models

Good to have experience in SLM

Integrate GenAI into enterprise applications via APIs or custom interfaces.

Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.

Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

Mandatory skill sets:

Generative AI (LLMs, Transformers)

Python, PyTorch, Hugging Face Transformers

Azure/AWS/GCP cloud platforms

LangChain/Langgraph or similar orchestration frameworks

REST APIs, FastAPI, Flask

ML pipeline tools (MLflow, Weights & Biases)

Git, CI/CD for ML (e.g., Azure ML, SageMaker pipelines)

Preferred skill sets:

RAG (Retrieval-Augmented Generation)

Vector DBs (FAISS, Pinecone, Weaviate)

Streamlit/Gradio for prototyping

Docker, Kubernetes (for model deployment)

Data preprocessing & feature engineering

NLP libraries: spaCy, NLTK, Transformers

Years of experience required:

4 to 7 years

Education qualification:

B.E/B.tech/M.tech/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Test Automation

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

September 18, 2026

","Build and deploy scalable generative AI solutions using large language models, transformer architectures, and cloud-based ML platforms. The role combines model fine-tuning, agentic AI, API integration, and production ML pipeline development.","The GenAI Engineer will design, develop, fine-tune, and deploy generative AI solutions using LLMs, transformer architectures, and domain-specific datasets. Responsibilities include prompt engineering, agentic AI implementation, model evaluation, enterprise API integration, and productionization across Azure, AWS, or GCP. The role requires strong Python, PyTorch, Hugging Face Transformers, orchestration framework, API, and ML pipeline experience. Preferred qualifications include RAG, vector databases, prototyping tools, Docker, Kubernetes, and NLP libraries. This position is distinctive for combining applied GenAI development with cloud deployment, ML operations, and enterprise solution integration.",[33,112],"2026-09-05T15:54:37.098098+00:00",[54],[123,57],[125,126,127,128,129,130,131,132,133,134,135,136,137,138],[249],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[187,188,251,252,253,254,255,256],"Strong experience with Generative AI, LLMs, transformers, Python, PyTorch, and Hugging Face Transformers.","Experience with Azure, AWS, or GCP cloud platforms and AI services such as Azure AI Foundry or GCP Vertex.","Proficiency with LangChain, LangGraph, or similar orchestration frameworks; REST APIs; FastAPI; and Flask.","Experience with ML pipeline tools such as MLflow and Weights & Biases, plus Git and ML CI/CD platforms such as Azure ML or SageMaker Pipelines.","Preferred experience includes RAG, FAISS, Pinecone, Weaviate, Streamlit, Gradio, Docker, Kubernetes, data preprocessing, feature engineering, spaCy, and NLTK.","Preferred experience includes model fine-tuning and small language models.",[195,258,259,260,261,262],"Develop prompt engineering strategies and agentic AI implementations using Crew.ai, LangChain, or LangGraph.","Build model pipelines with Python and ML frameworks, and productionize solutions with data engineering and MLOps teams on Azure, AWS, or GCP.","Integrate GenAI capabilities into enterprise applications through REST APIs and custom interfaces.","Evaluate model performance using quantitative and qualitative metrics and improve outputs through iterative experimentation.","Ensure deployed AI models are robust, scalable, and compliant, while keeping current with GenAI research and open-source tools.",[264],"PwC offers inclusive benefits, flexibility programmes, mentorship, wellbeing support, and professional growth opportunities.",{"_17":266,"_19":267,"_21":268,"_23":269,"_25":270,"_27":271,"_29":-5,"_30":-5,"_31":272,"_34":273,"_36":274,"_38":275,"_39":-5,"_40":276,"_42":277,"_44":278,"_46":47,"_48":119,"_49":120,"_51":279,"_52":280,"_55":281,"_58":-5,"_59":283,"_72":285,"_74":292,"_76":301,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":83,"_84":302,"_85":119,"_86":303},"a117af8c-91a3-4a9a-883e-62065cc6693f","Software Development Engineer 2, Prime Video Playback Operations Tech, Prime Video Playback Live Operations Tech","https://www.amazon.jobs/en/jobs/10528119","We're looking for a smart, motivated, and results-oriented Software Development Engineer II who is passionate about building AI-driven automation systems that transform operational complexity into seamless customer experiences. You'll be instrumental in developing the intelligent systems, automation frameworks, and operational tooling that enable autonomous management of hundreds of thousands of live events and linear stations.

This role sits at the intersection of AI/ML, distributed systems, and operational excellence. You'll build systems that learn from operational patterns, make intelligent decisions about playback quality, and automatically resolve issues before customers notice. Your work will directly impact whether millions of viewers experience perfect playback.

Key job responsibilities
As an SDE II on our team, you will:
Develop AI-powered operational intelligence systems that analyze telemetry data, detect anomalies, and make autonomous decisions about live event health and intervention strategies.

Build agentic incident response frameworks that reduce mean time to recovery through intelligent root cause analysis and automated remediation

Create scalable agentic pipelines that handle event lifecycle management—from technical on boarding and readiness validation to live execution and post-event analysis

Design customer centric quality assessment systems that evaluate playback from the viewer's perspective, not just technical metrics, ensuring our interventions improve rather than disrupt the viewing experience

Implement predictive analytics capabilities that identify potential failures before they occur, learning from historical patterns to prevent recurring issues

Develop operational tooling and dashboards that provide real-time visibility into system health, AI decision-making, and quality metrics across our global operations

You'll work with technologies spanning machine learning frameworks, distributed systems, real-time data processing, and cloud infrastructure. Your systems will need to operate reliably at Amazon scale—handling massive telemetry volumes, making sub-second decisions, and maintaining 24/7 availability across global time zones.

A day in the life
You start your morning analyzing overnight performance data from your automated quality system. During a live sports event, it detected micro-stuttering but intelligently chose not to intervene—avoiding worse disruption for viewers. You investigate the root cause, discovering patterns in CDN behavior during high-concurrency scenarios.

You design and implement ML-enhanced detection logic, validate it against production data, and document everything thoroughly. Code reviews, architecture discussions, and collaboration with data scientists fill your afternoon as you continuously improve the system's predictive capabilities.

By evening, your automation is autonomously managing live events for millions of viewers—detecting, analyzing, and resolving issues before operations teams even notice.

You're building intelligent systems at the intersection of AI, distributed systems, and live video—where impact is immediate and every improvement prevents real incidents at massive scale.

About the team
The Prime Video Playback Operations team ensures flawless viewing experiences for millions of customers watching live sports, breaking news, concerts, and linear programming worldwide. We operate 24/7 across global time zones, managing over hundreds of thousands annual events today—a number projected to grow by triple-digit percentage year over year.

We're in the midst of a transformative journey to build AI-powered autonomous operations system. We except that all operational decisions are diagnosed and mitigated independently. This isn't incremental improvement; it's re-imagining how operations scale.\n\nBasic Qualifications:\n- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of programming with at least one software programming language experience\n\nPreferred Qualifications:\n- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Bachelor's degree or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.","Build AI-powered automation and operational intelligence systems that autonomously manage live video playback for millions of Prime Video viewers. This Software Development Engineer II role combines machine learning, distributed systems, real-time telemetry, and live-event operations at global scale.","Develop systems that analyze playback telemetry, detect anomalies, assess viewer-facing quality, and make autonomous intervention decisions for live events and linear stations. Build agentic incident-response frameworks, event-lifecycle pipelines, predictive analytics, operational dashboards, and automated remediation capabilities. The systems must process massive telemetry volumes, make sub-second decisions, and operate continuously across global time zones. The role requires at least three years of professional software development experience and two years of design or architecture experience focused on reliability and scaling. Preferred qualifications include full software development lifecycle experience, a bachelor's degree or equivalent, and experience with machine learning, data mining, information retrieval, statistics, or natural language processing.",[33],"2026-09-03T00:00:00+00:00","2026-09-03T07:46:57.404589+00:00","2026-09-04T22:42:44.105409+00:00","Amazon","amazon","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/ed8505cd-e399-4590-acaa-d37e47bf9b06.jpg","PUBLIC",[54],[282,57],"Backend",[284],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[286,287,288,289,290,291],"At least 3 years of non-internship professional software development experience.","At least 2 years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling.","At least 3 years of programming experience with at least one software programming language.","Preferred: at least 3 years of full software development lifecycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.","Preferred: bachelor's degree in computer science or equivalent.","Preferred: experience in machine learning, data mining, information retrieval, statistics, or natural language processing.",[293,294,295,296,297,298,299,300],"Develop AI-powered operational intelligence systems that analyze telemetry, detect anomalies, and make autonomous live-event health and intervention decisions.","Build agentic incident-response frameworks for root-cause analysis and automated remediation.","Create scalable pipelines for event onboarding, readiness validation, live execution, and post-event analysis.","Design customer-centric quality assessment systems that evaluate playback from the viewer's perspective.","Implement predictive analytics to identify potential failures and prevent recurring issues.","Develop real-time operational tooling and dashboards for system health, AI decisions, and quality metrics.","Validate detection logic against production data and participate in code reviews, architecture discussions, and technical documentation.","Support reliable 24/7 operations for live video systems at Amazon scale.",[],36,"https://amazon.com",{"_17":305,"_19":306,"_21":307,"_23":308,"_25":309,"_27":310,"_29":-5,"_30":-5,"_31":311,"_34":312,"_36":313,"_38":314,"_39":-5,"_40":315,"_42":316,"_44":317,"_46":47,"_48":119,"_49":120,"_51":279,"_52":318,"_55":319,"_58":-5,"_59":320,"_72":322,"_74":330,"_76":338,"_78":-5,"_79":-5,"_80":-5,"_81":-5,"_82":83,"_84":302,"_85":7,"_86":340},"4ba1eaed-df87-47ab-bf44-bee27ed4f3e9","AI / ML Engineer","https://accenture.wd103.myworkdayjobs.com/AccentureCareers/job/Bengaluru/AI---ML-Engineer_ATCI-5749088-S2066939-1","Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. Daily activities may include integrating generative AI models into projects, working with deep learning frameworks, developing neural network architectures, and implementing intelligent systems such as chatbots and image processing tools. Collaboration with cross-functional teams to align AI solutions with business needs and continuous refinement of models to enhance performance are also key aspects of the role.

Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems to maintain high performance and reliability.
- Document technical designs, processes, and best practices to support knowledge sharing within the team.
- Assist junior team members by providing guidance and support to foster their professional growth.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong knowledge of deep learning techniques and neural network architectures.
- Experience with cloud AI platforms and services for deploying scalable AI solutions.
- Familiarity with generative AI models and their practical applications.
- Ability to develop and maintain production-grade AI pipelines and workflows.
- Competence in working with AI tools for natural language processing, computer vision, and chatbot development.

Additional Information:
- The candidate should have minimum 3 years of experience in Machine Learning (ML).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

","AI / ML Engineer responsible for building production-ready applications and systems using machine learning, generative AI, and cloud AI services. The role spans AI pipelines, model optimization, natural language processing, computer vision, and chatbot development.","Design and develop scalable AI applications and systems that integrate machine learning and generative AI models. Build and maintain production-grade application pipelines using cloud AI platforms and services. Apply deep learning, neural networks, natural language processing, computer vision, and chatbot technologies to business solutions. Monitor and optimize models and systems for performance and reliability while documenting technical practices. The role requires at least three years of machine learning experience and is based in the Bengaluru office.",[33],"2026-09-02T00:00:00+00:00","2026-09-02T22:20:12.810417+00:00","2026-09-04T22:37:19.823583+00:00","Accenture","accenture","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/82413acf-f1d2-41bf-89ff-7f317ced1afc.jpg",[54],[57],[321],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[323,324,325,326,327,328,329],"At least 3 years of experience in Machine Learning.","Strong knowledge of deep learning techniques and neural network architectures.","Experience with cloud AI platforms and services for deploying scalable AI solutions.","Familiarity with generative AI models and their practical applications.","Ability to develop and maintain production-grade AI pipelines and workflows.","Competence in natural language processing, computer vision, and chatbot development.","15 years of full-time education required.",[331,332,333,334,335,336,337],"Design and build AI applications and systems using machine learning, generative AI models, and cloud AI services.","Develop and maintain production-ready AI application pipelines and workflows.","Apply deep learning, neural networks, natural language processing, computer vision, and chatbot technologies.","Monitor and optimize AI models and systems for performance, scalability, and reliability.","Collaborate with stakeholders to translate project requirements into technical solutions.","Document technical designs, processes, and best practices.","Work independently as a subject matter expert, contribute to team discussions, and assist junior team members.",[339],"The position is based at the Bengaluru office.","https://www.accenture.com","actionData","errors"]

DS / ML Engineer

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