AI/ML ENGINEER Role

Job title: AI/ML Engineer

It is critical that the candidate has solid experience in Classical ML, GenAI Fundamentals, Model Training, Agentic Frameworks, and FinTech Domain experience.

Minimum Qualifications

• Education: Bachelor's degree in Computer Science, AI, Machine Learning, or equivalent.

• Classical ML: 2+ years of experience building solutions using supervised/unsupervised learning, classification, recommendation systems, and clustering algorithms.

• GenAI Fundamentals: In-depth knowledge of Transformer architecture, LLMs, and Agentic AI concepts.

• Model Training: Hands-on experience fine-tuning Large Language Models (LLMs) using PEFT/LoRA for domain-specific tasks.

• Agentic Frameworks: Proven experience building and extending RAG, MCP (Model Context Protocol), and multi-agent frameworks (e.g., LangChain, LlamaIndex, AutoGen).

• Communication: Strong written and verbal communication skills with the ability to explain complex AI concepts to business stakeholders.

Preferred Qualifications

• Master's degree in CS, specialized in AI/ML.

• FinTech Experience: 3+ years deploying production-grade AI/ML solutions in the FinTech domain.

• Advanced LLM Training: Experience with the full LLM lifecycle including pre-training, SFT, and Reinforcement Learning techniques (RLHF, PPO, GRPO).

• Advanced Agentic Systems: 2+ years building conversational assistants or autonomous agents using advanced techniques (LangGraph, CrewAI, A2A, CoT, ReAct, Reflection).

• Adaptability: Demonstrated ability to quickly master emerging AI tools and integrate them into legacy stacks.