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:

• 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 (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 (École Polytechnique Fédérale 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: • 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: You will work with large, real-world datasets across multiple domains, building systems that solve operational challenges. • 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. • Remote with Global Exposure: Collaborate with international teams while working remotely from India.