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 the design, development, and deployment of AI/ML and Large Language Model (LLM) initiatives, including chatbot, recommendation systems, and translation services.
- Implement and optimize LLM infrastructure and MLOps pipelines using tools like FastAPI, Kubernetes, MLflow, and containerization strategies.
- Collaborate on microservices-based architectures ensuring best practices in software engineering, DevOps, and cloud-based ML system security.
Minimum Requirements
- 4-8 years of relevant AI/ML experience with deep understanding of ML and LLM lifecycle including fine-tuning and evaluation.
- Advanced proficiency in Python; experience with LLM frameworks (Hugging Face, LangChain), big data processing (Spark), microservices, and version control (Git, MLflow).
- Experience with DevOps tools such as Terraform, CloudFormation, Kubernetes (with Helm, service mesh), CI/CD pipelines, and cloud platforms (AWS, GCP, Azure).
- Education: Bachelor of Engineering (B.Tech) or equivalent; Work Experience Required: 4-8 Years.
Ideal Candidate Profile
- Experienced AI/ML engineer with strong background in GenAI, LLM model deployment, and optimization techniques including quantization and knowledge distillation.
- Proficient in full ML engineering lifecycle with hands-on expertise in MLOps, model monitoring, and scalable distributed systems.
- Comfortable working in hybrid environments and microservices-based architectures, with strategic focus on optimizing performance, security, and maintainability of AI solutions.