Roles & Responsibilities
- Develop and deploy AI/ML models for use cases such as prediction, recommendation, classification, and anomaly detection across business functions.
- Build agentic AI systems that can autonomously execute multi-step workflows (e.g., data ingestion, reasoning, decision-making, and action execution) using modern agent frameworks.
- Design, fine-tune, and evaluate LLM-based solutions for tasks like document understanding, question answering, summarization, and conversational assistants.
- Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases to ground LLMs on domain-specific content and internal knowledge bases.
- Collaborate with product managers, domain experts, data engineers, and software developers to translate business requirements into robust AI solutions and APIs.
- Develop and optimize prompt engineering strategies, including structured prompts, tool-calling, and multi-agent coordination for reliable outcomes.
- Integrate AI models and services into existing platforms via REST/GraphQL APIs, microservices,



and event-driven architectures.
- Apply MLOps best practices for experiment tracking, versioning, CI/CD, monitoring, and observability of models and AI agents in production.
- Ensure solid data governance, privacy, and security practices when working with sensitive or proprietary data.
- Stay current with advancements in AI/ML, LLMs, agentic AI, and related tools to continuously improve solution quality and performance.

Desired Skills:

AI/ML Core
- Solid understanding of supervised, unsupervised, and deep learning techniques; familiarity with reinforcement learning is a plus.
- Hands-on experience with common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or XGBoost.
- Experience working with structured and unstructured data, including feature engineering, model evaluation, and performance optimization.

LLMs, NLP & Agentic AI
- Experience fine-tuning and deploying LLMs (e.g., GPT-family models,

📌 Ai Ml Engineer (Mumbai)
🏢 BDO India
📍 Mumbai