AI Engineering Manager

AI Engineering Manager (2 Positions)

Location: Noida / Chandigarh (On-site)

Experience: 46 Years

Employment Type: Full-time

Role Overview

The AI Engineering Manager will lead small, high-impact AI engineering teams responsible for designing, building, deploying, and maintaining production-grade AI/ML systems. This role is hands-on and delivery-focused, bridging architecture, engineering execution, and stakeholder coordination.

Key Responsibilities

Lead and mentor a team of AI/ML engineers and data engineers

Own end-to-end delivery of AI solutions from design to production

Translate business and domain requirements into scalable AI architectures

Oversee model development, evaluation, deployment, and monitoring

Design and enforce MLOps best practices (CI/CD, versioning, monitoring)

Review code, architectures, and model performance regularly

Collaborate with product managers, domain experts, and leadership

Ensure AI systems meet security, compliance, and reliability standards

Drive continuous improvement in engineering processes and tooling

Required Skills & Qualifications

46 years of experience in AI/ML engineering roles

Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)

Experience building and deploying ML models in production environments

Solid understanding of ML lifecycle, feature engineering, and model evaluation

Experience with cloud platforms (AWS / Azure / GCP)

Knowledge of MLOps tools (MLflow, Kubeflow, Vertex AI, SageMaker, CI/CD pipelines)

Experience with APIs, microservices, Docker, and Kubernetes

Strong problem-solving and communication skills

Prior experience mentoring junior engineers

Good to Have

Experience with GenAI, LLMs, RAG pipelines, or agent-based systems

Exposure to BFSI, Retail, GovTech, or Enterprise AI use cases

Knowledge of data engineering and distributed systems