10 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Develop and lead AI/ML initiatives involving LLMs, generative AI, chatbots, recommendation systems, and translation services.
- Build and optimize machine learning and LLM systems using fine-tuning, evaluation, quantization, knowledge distillation, feature engineering, embedding optimization, and dimensionality reduction.
- Design and implement RAG systems, vector database solutions, semantic search, and LLM-serving infrastructure.
- Develop scalable Python software using microservices, concurrency processing, test-driven development, and low-level designs for system architectures.
- Build and operate MLOps and deployment workflows for model serving, monitoring, automated retraining, and ML workload containerization.
- Use Spark for large-scale data processing and Git and MLflow for version control and experiment tracking.
- Implement cloud and infrastructure solutions using AWS, GCP, Azure, Terraform, CloudFormation, CI/CD pipelines, Kubernetes, Helm, and service mesh technologies.
- Apply A/B testing, experimental design, and statistical hypothesis testing to AI/ML solutions.
Requirements
- At least 4 years of total and relevant experience in AI/ML or a related field.
- Bachelor of Technology, Master of Technology, MCA, or MBA qualification.
- Advanced proficiency in Python and knowledge of SQL and Java.
- Extensive experience with LLM frameworks such as Hugging Face Transformers and LangChain, along with prompt engineering.
- Experience with machine learning frameworks including Hugging Face, TensorFlow, and PyTorch.
- Experience with Spark, Git, MLflow, microservices, concurrency processing, and test-driven development.
- Experience with infrastructure as code, CI/CD, Kubernetes, Helm, container orchestration, and cloud platforms including AWS, GCP, and Azure.
- Experience with FastAPI, vLLM, vector databases, TorchServe or TF Serving, model quantization, RAG systems, and semantic search.
- Deep understanding of the ML and LLM development lifecycle, including fine-tuning and evaluation.
- Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing.
- Prior experience in industries using AI/ML technologies is preferred.
- Familiarity with Go or Rust, network security for ML systems, agentic AI, and generative AI is preferred.
Benefits
- Hybrid work environment with flexibility and collaboration opportunities.
- Inclusive benefits, flexibility programs, wellbeing support, mentorship, and professional growth opportunities.
Tech Stack
Apache SparkAWSAzureFastAPIGitGitHub ActionsGoGoogle Cloud PlatformHelmHugging Face TransformersJavaJenkinsKubernetesMLflowPythonPyTorchRustSQLTensorFlowTerraform
Categories
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.