AI Engineering Manager

AI Engineering Manager

Location:

Noida / Chandigarh / Bengaluru

Experience:

4–6 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

• 4–6 years of experience in AI/ML engineering roles

• Strong hands-on experience with Python and ML frameworks (PyTorch, Tensor Flow, 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, Sage Maker, 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, Gov Tech, or Enterprise AI use cases

• Knowledge of data engineering and distributed systems