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AI Engineering Manager



Job description

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, 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


Required Skill Profession

Computer Occupations



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