IN_Manager_AI/ML Engineer_GCC_Advisory_Bangalore

Design, build, and deploy scalable ML, GenAI, and Agentic AI systems in cloud environments focusing on productionization, automation, and business impact.

Develop and optimize end-to-end ML/AI pipelines including model monitoring, drift detection, and governance, integrating AI with enterprise APIs and customer applications.

Lead AI solution development for demand forecasting, RAG systems, autonomous multi-agent workflows, and scalable LLM inference architectures while mentoring team members and presenting technical findings.

7-12 years of relevant work experience in AI/ML engineering.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field with 60% or above.

Hands-on experience with ML, Deep Learning, NLP, GenAI, time series forecasting, MLOps pipelines, CI/CD, and AI system integration.

Proficiency in building RAG systems, Agentic AI solutions, scalable LLM inference, and optimization of models for performance, cost, and latency.

Experienced in deploying complex AI systems in Agile environments with collaboration across data scientists, engineers, product managers, and business stakeholders.

Strong technical leader capable of mentoring others and presenting technical concepts to diverse audiences.

Up-to-date with AI/GenAI trends and able to evaluate and apply emerging tools and frameworks effectively.