ML Systems Engineer

Job Title : ML Engineer

Location : Chennai / Hyderabad / Pune

Work Mode : Work from Office

Experience : 4–8 Years

About the role :

We are seeking a highly skilled Machine Learning Engineer with strong experience in building, deploying, and optimizing AI / ML systems—especially those leveraging LLMs, NLP, GenAI , and cloud-native services. The ideal candidate will have hands-on expertise with AWS (including Bedrock) , modern vector databases such as BetaDB , and production-grade ML orchestration.

Key Responsibilities :

• Design, develop, and deploy end-to-end machine learning pipelines on AWS.
• Build and fine-tune LLM-based applications for tasks such as summarization, generation, semantic search, classification, and agent-based workflows.
• Implement NLP solutions including text preprocessing, embedding pipelines, retrieval systems, and conversational AI.
• Utilize AWS Bedrock for model hosting, inference orchestration, prompt engineering, evaluation, and optimization.
• Manage knowledge bases and vector storage using BetaDB or similar platforms for RAG and generative workflows.
• Develop GenAI architectures , including prompt workflows, agents, RAG pipelines, and evaluation frameworks.
• Integrate ML models into production systems using scalable APIs, microservices, and CI / CD pipelines.
• Work cross-functionally with product, engineering, and data teams to deliver high-impact AI solutions.
• Ensure system reliability, observability, and performance tuning for real-time and batch inference workloads.

Required skills & experience :

Hands-on experience with :