Role & responsibilities
Developing and deploying LLMOps and MLOps workflows that support model training, testing, deployment, and monitoring across client solutions
Translating advanced data science and machine learning requirements into scalable automation, orchestration, and lifecycle management approaches
Applying statistical analysis, predictive modeling, and data engineering techniques to improve model performance and operational reliability
Supporting client engagements by gathering technical requirements, interpreting feedback, and shaping practical implementation plans
Building data pipelines and data quality controls that support machine learning use cases and AI-enabled solutions
Evaluating model behavior, retraining needs, and drift signals by using monitoring tools and analytical methods
Documenting technical decisions, solution design, and deployment steps to support transparency and reuse across project workstreams
Mentoring junior team members on machine learning workflows, AI tooling, and delivery methods while contributing to team development

What Sets You Apart
Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics,



Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
Demonstrating LLMOps and MLOps delivery across client engagements
Utilizing AI tooling, data pipelines, and model monitoring
Interpreting data to guide recommendations and delivery priorities
Building client connections while navigating ambiguity and change
Mentoring junior team members through complex technical work

Role: Data Science & Analytics - Other, Industry Type: Financial Services, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: B.Tech / B.E. in Any Specialization, B.C.A. in Any Specialization, B.Sc in Any Specialization PG: MS/M.Sc(Science) in Any Specialization, MBA/PGDM in Any Specialization, M.Tech in Any Specialization, MCA in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills MLopsLLMMachine Learning OpsRAG

📌 Llmops + Mlops Senior Associate Hyderabad
🏢 PwC
📍 Hyderabad