ARTIFICIAL INTELLIGENCE & MACHINE LEARNING ENGINEER

About

We are looking for an exceptional Artificial Intelligence & Machine Learning Engineer to design and build production‑grade AI systems that transform enterprise decision‑making. This is not a research‑only role; you will work on real‑world applied AI, building models that run in production and solve operational problems using large‑scale business data. You will design and deploy predictive models, intelligent automation systems, and AI‑powered analytics platforms that directly influence strategic business decisions.

Responsibilities

• Build and deploy AI systems across multiple business functions, including:
  • Predictive analytics and machine learning models
  • AI‑driven business intelligence and insights platforms
  • NLP‑powered analytics assistants and conversational data interfaces
  • AI automation and decision‑support tools
• Design scalable ML pipelines and deploy models into production
• Move work beyond experimentation into fully operational AI systems used across the enterprise

Tech Stack

• Python
• TensorFlow
• PyTorch
• Scikit‑learn
• Cloud Platforms: Azure, AWS, GCP
• Domains: NLP, Machine Learning, Generative AI, Data Platforms

Requirements

• 3–5 years of experience in AI, Machine Learning, or Data Science
• Strong Python and machine learning engineering expertise
• Experience deploying ML models into production environments
• Strong problem‑solving ability and applied AI thinking

Academic Requirement (Mandatory)

Candidates must have graduated from at least one of the following categories:

Tier 1 Indian Institutions

• Indian Institute of Technology Madras
• Indian Institute of Technology Delhi
• Indian Institute of Technology Bombay

Ivy League Universities (USA)

Global Top Universities

• Massachusetts Institute of Technology (MIT)
• Stanford University
• Carnegie Mellon University
• University of Oxford
• University of Cambridge
• Harvard University
• University of California, Berkeley
• California Institute of Technology (Caltech)
• ETH Zurich
• University of Chicago
• Princeton University
• Columbia University
• University of Washington
• Georgia Institute of Technology
• University of California, Los Angeles (UCLA)
• University of Texas at Austin
• Imperial College London
• University College London (UCL)
• University of Edinburgh
• EPFL (École Polytechnique Fédérale de Lausanne)
• Technical University of Munich (TUM)
• Delft University of Technology
• National University of Singapore (NUS)
• Nanyang Technological University (NTU)
• Tsinghua University
• Peking University

Note: Candidates must meet at least one of the above criteria. Applications that do not meet this requirement will not be considered.

Why Join Us

• Build Real AI Systems, Not Just Experiments: Your models will go into production and directly influence business decisions across a growing enterprise.
• Work on Meaningful Data Problems: Large, real‑world datasets across multiple domains, solving operational challenges.
• High Impact Role: Intersection of AI, engineering, and business strategy; shape how the organization uses intelligence and automation.
• Remote with Global Exposure: Collaborate with international teams while working remotely from India.