AI/ML Engineer - Large Language Models

Risk Resources seeks an AI/ML Engineer to turn data science research into production-grade systems for financial risk assessment and decision-making. The role works with data scientists, product managers, and quantitative analysts in a hybrid arrangement across its Pune, Bangalore, Mumbai, or Hyderabad offices.

Responsibilities

• Architect and deploy scalable machine learning pipelines integrated with financial data infrastructure, improving model accuracy and latency.
• Develop and fine-tune large language models to extract and analyze information from unstructured financial documents and reduce manual processing.
• Implement MLOps workflows for model monitoring, versioning, and automated retraining.
• Translate business requirements into technical specifications for NLP applications with cross-functional stakeholders.
• Optimize production AI models for cost, scalability, reliability, data security, and compliance.

Requirements

• A minimum of 5–8 years of professional experience developing and deploying production-grade machine learning solutions.
• Expertise in advanced NLP models and generative AI solutions for high-volume data environments, plus proficiency with MLOps workflows and model reproducibility.
• Strong Python programming skills; deep experience with frameworks such as PyTorch, TensorFlow, or JAX; and familiarity with LLM orchestration tools.
• Ability to explain technical concepts to non-technical stakeholders and align engineering work with business objectives.
• A degree in Computer Science, Mathematics, or a related quantitative field.