IN_Senior Associate_ AI/ML Engineer _GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)4–8 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead AI/ML initiatives, focusing on developing and deploying large language model (LLM) applications such as chatbots, recommendation systems, and semantic search solutions.
- Design, engineer, and optimize scalable AI/ML infrastructure using technologies like Kubernetes, microservices, Terraform, and cloud platforms (AWS, GCP, Azure).
- Manage AI/ML model lifecycle including fine-tuning, quantization, model serving, monitoring, and automated retraining with MLOps best practices.
Minimum Requirements
- 4 to 8 years of professional experience in AI/ML or related fields with hands-on expertise in Python and LLM frameworks (Hugging Face Transformers, LangChain).
- Experience with big data analytics using Spark and proficiency in software engineering practices including microservices architecture and DevOps tools (Terraform, CI/CD pipelines, Kubernetes).
- Educational background: Bachelor or Master of Engineering (B.Tech/M.Tech) or relevant degrees like MCA/MBA in related fields.
- Mandatory skills include GenAI, LLM engineering, Python, FastAPI, microservices, Kubernetes, RAG systems, and vector databases.
Ideal Candidate Profile
- Strong technical leader capable of architecting end-to-end AI/ML solutions, especially involving large language models in a hybrid work environment.
- Experienced in integrating complex infrastructure components like container orchestration, infrastructure as code, and cloud security for scalable AI services.
- Skilled in the entire ML lifecycle including data pipeline design, model optimization, experimental design, and deployment monitoring aligning with enterprise advisory services.