Machine Learning Engineer

Role: Machine Learning Engineer

Location: Bangalore

We are seeking a talented AI/ML Engineer with 2-4 years of hands-on experience to join our growing AI team. The ideal candidate will have strong expertise in modern AI technologies, including Large Language Models (LLMs), AI Agents, and agentic frameworks. You will be responsible for designing, developing, and deploying intelligent systems that solve real-world business problems while ensuring robust Monitoring and Governance.

Key Responsibilities:

• Design and implement machine learning solutions using fundamental ML algorithms and advanced NLP techniques
• Develop and optimize embedding models for semantic search, recommendation systems, and knowledge retrieval
• Build production-grade AI Agents using frameworks such as LangChain, LangGraph, OpenAI Agents SDK, etc.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enterprise applications
• Fine-tune Large Language Models for domain-specific use cases and performance optimization
• Integrate AI agents with enterprise systems, APIs, and data pipelines
• Implement comprehensive monitoring and observability using LangSmith, Langfuse, and similar governance frameworks
• Establish AI governance practices including guardrails, compliance checks, and ethical AI guidelines
• Collaborate with cross-functional teams to identify AI opportunities and translate business requirements into technical solutions
• Optimize model performance, latency, and cost-effectiveness in cloud environments
• Conduct code reviews, write technical documentation, and mentor junior team members
• Strong experience with SQL databases and query optimization
• Hands-on experience with Snowflake for data warehousing and analytics

Mandatory Skills

• Strong understanding of core ML algorithms including classification, regression, clustering, and ensemble methods
• Hands-on experience with model evaluation metrics, cross-validation, and hyperparameter tuning Proficiency in feature engineering and data preprocessing techniques.
• Proven experience working with LLMs
• Expertise in prompt engineering, few-shot learning, and chain-of-thought prompting
• Experience with LLM APIs and model integration patterns
• Practical experience building autonomous AI agents