Mandatory Requirements
Solid hands-on experience building, training, fine-tuning, and deploying machine learning models.
Experience leading AI/ML engineers and delivering production-grade ML solutions.
Strong Python skills and familiarity with ML frameworks, APIs, model serving, and cloud infrastructure.
Understanding of model evaluation, data pipelines, experiment tracking, deployment, and monitoring.

Key Responsibilities
Lead the design, development, testing, and deployment of AI/ML applications.
Translate solution requirements into engineering plans, technical tasks, and delivery milestones.
Guide model training, fine-tuning, inference optimization, and integration with production systems.
Collaborate with data science, data engineering, architecture, and MLOps teams.
Review code and model quality, resolve technical issues, and establish engineering best practices.

Technical Competencies
Python.
PyTorch/TensorFlow.
Scikit-learn.
NLP/LLMs.
Computer Vision.
APIs.
Cloud AI platforms.
Docker / Kubernetes.
Model evaluation.
CI/CD.
Technical leadership.

📌 AI/ML ENGINEERING LEAD (7+ Years) (New Delhi)
🏢 Enormous Enterprise
📍 New Delhi