11 hours ago
Noida, IndiaSenior / Staff+
Responsibilities
- Design ML pipelines for experiment management, model management, feature management, and model retraining.
- Design APIs for model inferencing at scale.
- Work with GPU architectures and distributed training and serving of large language models.
- Fine-tune and optimize LLM and LVM models to improve latency and accuracy while reducing training and resource requirements.
- Apply DevOps and LLMOps practices using Kubernetes, Docker, and container orchestration.
- Develop and manage LLM orchestration workflows using frameworks such as Flowise, Langflow, and LangGraph.
Requirements
- 5–8 years of professional experience is required.
- Bachelor’s or master’s degree in engineering or a related qualification, including B.Tech, MCA, BCA, or M.Tech.
- Mandatory skills include Generative AI, LLMs, Hugging Face, Python, PyTorch or TensorFlow or Keras, LangChain, LangGraph, Docker, and Kubernetes.
- Experience with ML pipelines, model fine-tuning, optimization, distributed training, model serving, GPU architecture, and LLMOps is required.
- Proficiency in Python, SQL, and JavaScript is required.
- Experience with MLflow, SageMaker, Vertex AI, Azure AI, DeepSpeed, vLLM, and cloud platforms is expected.
- Preferred qualifications include AI engineering experience and cloud certifications such as AWS Professional Solutions Architect, AWS Machine Learning Specialty, or Azure Solutions Architect Expert.
Benefits
- PwC offers inclusive benefits, flexibility programs, wellbeing support, mentorship, and opportunities for learning and career growth.
- The role is located in Noida or Bangalore; travel requirements are not specified.
- The posting states that work visa sponsorship is not available.
Tech Stack
Amazon DynamoDBAWSAzureDockerGoogle BigQueryGoogle Cloud PlatformGrafanaJavaScriptKerasKibanaKubernetesMLflowMongoDBMySQLPostgreSQLPrometheusPythonPyTorchSQLTensorFlow
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.