Overview
Manager, Data Scientist in PwC's Advisory Data, Analytics & AI specialism, focused on using advanced analytical techniques to extract insights from large datasets and support data-driven decision-making for clients.
What you'll do
- Design ML pipelines for experiment management, model management, feature management, and model retraining.
- Design APIs for model inferencing at scale.
- Serve distributed training of large language models; apply model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
- Fine-tune and optimise models to achieve better latencies and accuracies, and reduce training and resource requirements for fine-tuning LLM and LVM models.
- Practise DevOps and LLMOps, including Kubernetes, Docker, and container orchestration.
- Use LLM orchestration frameworks such as Flowise, Langflow, and Langgraph.
- Leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
What you'll need
- Bachelor of Engineering/B.Tech or Master of Engineering, or MBA or MCA as the education qualification.
- 3+ years of experience required.
- Mandatory: Gen AI, LLM, Hugging Face, Python, PyTorch/TensorFlow/Keras, LangChain, LangGraph, Docker, Kubernetes.
- Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
- Deep knowledge of GPU architectures.
- Expertise in distributed training and serving of large language models.
- Proficiency in model and data parallel training using DeepSpeed and vLLM.
- Proven expertise in model fine-tuning and optimisation techniques.
- Proven expertise in DevOps and LLMOps practices.
- Knowledge of Kubernetes, Docker, and container orchestration.
- Deep understanding of LLM orchestration frameworks such as Flowise, Langflow, and Langgraph.
- Proficient in Python, SQL, and JavaScript.
Nice to have
- Preferred skill sets: SQL, machine learning, data science.
- Cloud certifications (bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert.
Details
- Location: Bengaluru Millenia.
- Visa sponsorship: No.
- Government clearance required: No.
- Job posting end date: August 20, 2026.
Read the full description and apply on the company’s own careers page.