Artificial Intelligence Engineer for Scalable Solutions

6 days ago

Mumbai, Maharashtra, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Epsilon Technologies Group is a specialist capital markets technology solutions and services firm. We are expanding our capabilities in Artificial Intelligence and Machine Learning to enhance our products, improve internal productivity, and deliver new services to clients.

We are looking for a hands-on AI / ML Engineer who can design, build, and deploy real-world AI solutions. This role will shape our AI infrastructure and enable scalable, secure, and innovative services.

Responsibilities:

  • Design and implement end-to-end machine learning pipelines from data ingestion and preparation to model training, deployment, and monitoring (MLOps best practices).
  • Manage and optimize secure AI experimentation environments (AWS Bedrock, Azure AI, or client-hosted).
  • Translate proofs-of-concept into working prototypes and production-ready solutions.
  • Work across various AI/ML approaches, including Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), AI Assistants / Agentic Automation, General Machine Learning Models.
  • Ensure governance, compliance, and data security are embedded in all AI development and deployment activities.
  • Collaborate with business analysts, consultants, and developers to deliver practical solutions aligned with client and internal needs.

Requirements:

  • 2–4 years' experience in AI/ML engineering, data science, or MLOps, with a strong hands-on delivery record.
  • Proficiency in cloud platforms (AWS, Azure) and ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain or equivalents).
  • Solid experience with data engineering, APIs, and deploying models into production environments.
  • Strong problem-solving mindset, able to work independently in a small, agile team.
  • Contributions to open-source projects or research publications in AI (preferred).
  • Financial services knowledge is a plus, but not required - strong technical depth and adaptability are the priority.

Preferred Educational Background:

  • B.Tech / BE in Computer Science or Information Technology (with specialization in AI/ML).
  • MBA (Finance) with strong quantitative and AI/ML focus also considered.

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