AI / ML Engineer

Responsibilities

• Develop and deploy advanced AI solutions using the latest Generative AI techniques, including:
• Retrieval-Augmented Generation (RAG) pipelines.
• Designing and building Agentic AI systems to automate complex decision-making workflows.
• Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation.
• Build scalable AI workflows, adhering to robust engineering and code quality standards.
• Lead end-to-end AI solution development lifecycle from prototyping and experimentation to deployment on cloud platforms (AWS, Azure, or GCP).
• Collaborate closely with cross-functional global teams, financial analysts, technology architects, and client stakeholders to translate business challenges into AI-driven solutions.
• Continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art.
  

Requirements

• 4 to 6 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles.
• Deep hands-on expertise with GenAI technologies, RAG frameworks, agent-based AI design patterns, and fine-tuning techniques for SLM.
• Strong programming skills in Python with a focus on clean, maintainable, and performant code.
• Proven experience deploying AI/ML solutions on cloud platforms (AWS, Azure, GCP) with familiarity in containerization, orchestration, and CI/CD pipelines.
• Having a public Github code repository or Kaggle profile will be a big plus.
• Solid understanding of data structures, algorithms, software design principles, and scalable system design.
• Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus.
• Decent communication skills to effectively collaborate across global teams and handle client interactions.
• Self-driven, proactive mindset with a passion for problem-solving and innovation.
  

Educational Background

• Bachelor's or Master's degree from leading Indian institutes / Universities in Computer Science, or Any Engineering discipline, or Mathematics, or related quantitative fields.
• Mandatory Skills: Gen AI, Python, ML Ops, RAG, Language Model.