AI/ML Engineering Lead

Location: Recent DelhiNCR
Experience: 710 years

Job Overview

We are seeking a hands-on AI/ML Engineering Lead to lead the development, deployment, and optimization of production AI/ML solutions while guiding engineering teams and ensuring high-quality delivery.

Educational Qualification

B.Tech/ M.Tech in Computer Science, AI, Machine Learning, Data Science, or a related field. Relevant certifications or open-source contributions are an advantage.

Key Responsibilities
Lead the design, development, testing, and deployment of AI/ML applications.
Translate business and product requirements into engineering plans, milestones, and deliverables.
Guide model training, fine-tuning, inference optimization, and application integration.
Work with Data Science, Data Engineering, Architecture, and MLOps teams.
Review code, model quality, performance, and engineering standards.
Troubleshoot technical challenges and support production deployments.




Mentor AI/ML engineers and establish sound development practices.
Monitor model performance, reliability, and operational effectiveness.

Mandatory Screening Criteria
7–10 years of relevant AI/ML or engineering experience.
Robust hands-on Python skills.
Experience developing, training, fine-tuning, and deploying ML models.
Experience with PyTorch, TensorFlow, and/or Scikit-learn.
Knowledge of ML pipelines, model evaluation, APIs, and production deployment.
Experience guiding engineers or leading AI/ML development initiatives.

Preferred Skills
NLP, LLMs, Computer Vision, or related AI application development.
Cloud AI infrastructure.
Docker, Kubernetes, CI/CD, and model monitoring.
Robust engineering leadership and cross-functional collaboration.

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