IN-Manager_ Java + Scala Data Engineer __ GCC_ Advisory _Mumbai
PwC India (company site, opens in a new tab)8–12 yrsMumbaiOn-siteDirect career pageEst. 28–45 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead AI/ML initiatives by designing, developing, and optimizing LLM-based and machine learning solutions, focusing on chatbots, recommendation systems, and translation services.
- Develop and maintain scalable AI/ML infrastructure, including LLM deployment using microservices, container orchestration (Kubernetes), CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
- Oversee the full ML lifecycle including feature engineering, fine-tuning, evaluation, experimental design, and deployment with MLOps practices.
Minimum Requirements
- 8-12 years of experience in AI/ML or related field with at least 4+ years relevant to AI/ML and LLM technologies.
- Strong proficiency in Python; experience with LLM frameworks (Hugging Face Transformers, LangChain), Spark, microservices architecture, Git, MLflow, and containerization (Kubernetes, Helm).
- Experience with cloud platforms AWS, GCP, or Azure, and skills in Terraform/CloudFormation, CI/CD (GitHub Actions/Jenkins), and vector databases.
- Education: Bachelor of Engineering, Master of Business Administration, or equivalent (B.Tech/M.Tech/MCA/MBA).
Ideal Candidate Profile
- Experienced in architecting and deploying large-scale AI/ML and LLM applications in production environments using microservices and cloud-native infrastructure.
- Demonstrates expertise in advanced ML techniques including LLM optimization, quantization, embedding, and knowledge of retrieval-augmented generation (RAG) systems.
- Consistently works cross-functionally on end-to-end AI projects from design (LLD) to deployment, with strong operational knowledge of MLOps and experimentation analytics (A/B testing, hypothesis testing).