Artificial Intelligence & Machine Learning Engineer

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING ENGINEER

Remote India | Permanent

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.

What You'll Work On:

You will be responsible for building and deploying 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

Designing scalable ML pipelines and deploying models into production

Your work will move beyond experimentation into fully operational AI systems used across the enterprise.

Tech Stack: You will work with modern AI and data technologies including but not limited to:

Python

TensorFlow

PyTorch

Scikit-learn

Cloud Platforms: Azure / AWS / GCP

Domains: NLP Machine Learning Generative AI Data Platforms

Experience: We are looking for engineers who can design, build, and deploy production AI systems.

Requirements:

35 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 (AI-specialist powerhouse)
• 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 (#2 QS overall)
• UCL (University College London)
• University of Edinburgh (strong AI/NLP research hub)
• Imperial College London (#2 QS overall)
• UCL (University College London)
• University of Edinburgh (strong AI/NLP research hub)
• EPFL (cole Polytechnique Fdrale de Lausanne)
• Technical University of Munich (TUM)
• Delft University of Technology
• National University of Singapore (NUS)
• Nanyang Technological University (NTU) (top AI in Asia)
• 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:

1. Build Real AI Systems, Not Just Experiments: Your models will go into production and directly influence business decisions across a growing enterprise.
2. Work on Meaningful Data Problems: You will work with large, real-world datasets across multiple domains, building systems that solve operational challenges.
3. High Impact Role: This role sits at the intersection of AI, engineering, and business strategy, where your work will shape how the organization uses intelligence and automation.
4. Remote with Global Exposure: Collaborate with international teams while working remotely from India.