Manager – AI/ML Engineer, Advisory

Overview

We're looking for a Senior AI/ML Engineer who can design, build, and deploy scalable ML, GenAI, and Agentic AI systems across cloud environments, with a strong focus on productionization, automation, and business impact. The role covers demand forecasting, RAG-based intelligent applications, autonomous multi-agent systems, and enterprise AI integration.

What you'll do

• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring).
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production.
• Design and implement RAG systems, including retrieval, chunking, embeddings, vector search, and prompt engineering.
• Build Agentic AI solutions, including autonomous agents, multi-agent workflows, tool-calling, planning, and memory.
• Build and optimize time series forecasting models for demand forecasting and inventory planning.
• Implement MLOps pipelines, including CI/CD, model monitoring, drift detection, and governance.
• Optimize models for performance, cost, and latency.
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications.
• Design scalable LLM inference architectures for efficient deployment.
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams.
• Debug, optimize, and enhance ML models for quality and performance improvements.
• Mentor team members and present technical findings to diverse audiences.
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks.

What you'll need

• 7-12 years of experience.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (60% above).
• Master of Engineering or Bachelor of Engineering.
• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring).
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production.
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering.
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory.
• Build and optimize time series forecasting models (demand forecasting, inventory planning).
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance.
• Optimize models for performance, cost, and latency.
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications.
• Design scalable LLM inference architectures for efficient deployment.
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams.
• Debug, optimize, and enhance ML models for quality and performance improvements.
• Mentor team members and present technical findings to diverse audiences.
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks.
• Java Selenium.
• Java Testing.

Nice to have

• Build end-to-end ML/AI pipelines (data → model → deployment → monitoring).
• Develop and deploy ML, Deep Learning, NLP, and GenAI models in production.
• Design and implement RAG systems — retrieval, chunking, embeddings, vector search, and prompt engineering.
• Build Agentic AI solutions — autonomous agents, multi-agent workflows, tool-calling, planning, and memory.
• Build and optimize time series forecasting models (demand forecasting, inventory planning).
• Implement MLOps pipelines — CI/CD, model monitoring, drift detection, governance.
• Optimize models for performance, cost, and latency.
• Integrate AI systems with enterprise APIs, data platforms, and customer-facing applications.
• Design scalable LLM inference architectures for efficient deployment.
• Collaborate with data scientists, product managers, engineers, and business stakeholders in Agile teams.
• Debug, optimize, and enhance ML models for quality and performance improvements.
• Mentor team members and present technical findings to diverse audiences.
• Stay current with AI/GenAI trends and evaluate emerging tools and frameworks.

Details

• Location: Bengaluru Millenia.
• Travel requirements: Not specified.
• Work visa sponsorship is not available.
• Government clearance is not required.