IN_Senior Associate_AI/ML Engineer_GCC_Advisory_Gurgaon
PwC India (company site, opens in a new tab)4–12 yrsGurugramOn-siteDirect career pageEst. 20–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and optimize end-to-end ML/AI pipelines including models for Deep Learning, NLP, GenAI, RAG systems, Agentic AI, and time series forecasting focused on production environments.
- Implement and maintain MLOps pipelines with CI/CD, model monitoring, drift detection, and governance ensuring performance, cost, and latency optimization.
- Collaborate across Agile teams to integrate AI systems with enterprise APIs and applications, mentor team members, and communicate technical findings to diverse stakeholders.
Minimum Requirements
- 4-12 years of relevant experience in AI/ML engineering.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 60% or above.
- Strong technical skills in building and deploying ML, Deep Learning, NLP, GenAI models, and RAG systems (retrieval, embeddings, vector search, prompt engineering).
- Experience with MLOps pipelines (CI/CD, monitoring, governance) and integrating AI systems with enterprise platforms.
Ideal Candidate Profile
- Experienced in production-level deployment and operationalization of complex AI solutions including autonomous agents and multi-agent workflows.
- Comfortable working in Agile environments collaborating closely with data scientists, product managers, and engineers.
- Capable of mentoring peers and communicating complex AI/ML concepts effectively to technical and non-technical stakeholders.