AI/ML Engineer (Open-Source LLM – BFSI Domain) Job Title: AI/ML Engineer (Open-Source LLM – BFSI Domain) Location: Brookefield, Bengaluru Employment Type: Full-Time Work Schedule: Monday to Saturday (Alternate Saturdays Off) Working Hours: 9:00 AM – 6:00 PM (Extendable based on project requirements) About The Role We are seeking a talented AI/ML Engineer with hands-on experience in building, fine-tuning, and deploying Open-Source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will have practical experience developing production-ready AI solutions and a passion for leveraging Generative AI to solve real-world business challenges. In this role, you will collaborate with Product, Engineering, and Data Science teams to design intelligent AI solutions that enhance customer experience, automate business processes, and improve operational efficiency.

Key Responsibilities Design, develop, fine-tune, and deploy Open-Source LLMs for BFSI use cases. Build AI-powered applications using contemporary LLM frameworks and orchestration tools. Collaborate with Product Managers, Data Scientists, and Software Engineers to understand business requirements and deliver scalable AI solutions. Conduct model experimentation, evaluation, optimization, and performance benchmarking using real-world datasets.

Implement

Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI workflows where applicable. Monitor model performance in production environments and continuously improve model accuracy, latency, and scalability. Ensure AI solutions comply with enterprise security, privacy, and regulatory standards.

Develop APIs and integrate AI models into enterprise applications. Maintain technical documentation, architecture diagrams, and deployment procedures. Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Open-Source LLM technologies.





Required Qualifications Education Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related technical field. Equivalent practical experience will also be considered.

Experience Minimum 2+ years of hands-on AI/ML development experience.

Experience In The BFSI Domain Is Preferred. Proven experience building and deploying AI/ML solutions in production environments.

Technical Skills Programming Languages

Python (Mandatory) Java (Preferred) AI/ML Frameworks PyTorch TensorFlow Scikit-learn Open-Source LLM Technologies Experience With One Or More Of The Following LangChain LangGraph Ollama Hugging Face Transformers Llama Mistral DeepSeek Qwen vLLM FastAPI Generative AI Prompt Engineering Fine-Tuning LLMs Retrieval-Augmented Generation (RAG) Embeddings Vector Databases (FAISS, ChromaDB, Milvus, Pinecone, etc.) Model Evaluation and Optimization Additional Skills Docker Kubernetes (Preferred) REST APIs Git Linux CI/CD pipelines Core Competencies Strong analytical and problem-solving skills. Excellent understanding of AI/ML concepts and LLM architectures. Ability to communicate technical concepts to non-technical stakeholders.

Strong interpersonal and collaboration skills. Self-motivated with a passion for continuous learning and innovation.

Preferred Experience Experience in any of the following areas will be an added advantage: Banking & Financial Services applications Fraud Detection Credit Risk Assessment Intelligent Document Processing Loan Processing Automation Customer Support Chatbots Regulatory Compliance OCR & Document AI Agentic AI and Multi-Agent Systems Interview Process Round 1 – Technical Interview Conducted by: Senior AI Engineer Assessment Includes Python Programming Machine Learning Fundamentals Open-Source LLMs LangChain & RAG Coding and Problem Sol… Skills:

- Python, Huggingface, Stackless Python, Retrieval Augmented Generation (RAG), Open-source LLMs, Prompt engineering, Stani's Python Editor and prometheus

📌 AI/ML Engineer (Open-Source LLM – BFSI Domain) (Bengaluru)
🏢 IMPACTO DIGIFIN TECHNOLOGIES
📍 Bengaluru