Lead I - ML Engineering

We are seeking a highly accomplished AI Lead with 6+ years of industry experience to shape, lead, and deliver next-generation AI solutions across complex, real world problems. This role is ideal for a hands-on technical leader with deep expertise in classical Machine Learning, Generative AI, and Agentic AI systems, and a passion for building intelligent automation solutions at scale.

The ideal candidate will have a strong track record of leading end-to-end AI programs, delivering impactful solutions across multiple industries, and translating cutting-edge research into production-grade systems. Experience with LLMs, autonomous agents, and AI-driven workflows will be critical to success in this role.

Key Responsibilities

Qualifications & Experience

• Bachelor s degree in Computer Science, Engineering, Mathematics, or a related field; Master s or PhD preferred.
• 6+ years of hands-on experience delivering AI/ML solutions, with strong depth in classical ML, deep learning, and NLP.
• Proven experience leading and delivering multiple large-scale AI projects from idea to production across diverse domains.
• Strong expertise in ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and modern deep learning architectures.
• Demonstrated experience with Generative AI and LLMs (e.g., GPT, BERT, Transformers), including RAG, fine-tuning, and agent-based systems.
• Solid experience with MLOps, Databricks, and cloud-native AI platforms (Azure, AWS, GCP).
• Strong understanding of designing AI systems for intelligent automation, decision support, and autonomous workflows.
• Excellent leadership, communication, and stakeholder-management skills.
• Strong analytical mindset with a proven ability to solve ambiguous, high-impact problems in fast-paced environments.