Manager - AI/ML Engineering

We are seeking an experienced Manager - AI & Machine Learning to lead a team of Data Scientists and ML Engineers in building scalable AI-driven solutions. The ideal candidate will possess strong technical expertise in Machine Learning, Deep Learning, NLP, and Generative AI, coupled with proven leadership experience in driving high-impact AI initiatives from conception to deployment.

This role requires a combination of strategic thinking, stakeholder management, people leadership, and hands-on involvement in delivering AI/ML solutions that create measurable business value.

Roles & Responsibility:

• Lead, mentor, and manage a team of Data Scientists and ML Engineers, fostering innovation and technical excellence.
• Partner with Product, Engineering, Business, and Leadership teams to define AI/ML strategy and roadmap.
• Drive end-to-end delivery of AI/ML projects, ensuring alignment with business objectives and timelines.
• Design and oversee the development, deployment, and monitoring of machine learning and deep learning models.
• Establish best practices for data science, model development, experimentation, model governance, and MLOps.
• Guide teams in building scalable real-time and batch AI/ML pipelines.
• Drive initiatives involving NLP, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI applications.
• Review model performance, ensure continuous optimization, and implement model monitoring frameworks.
• Present technical solutions and business insights to senior leadership and non-technical stakeholders.
• Collaborate with data engineering teams to improve data quality, feature engineering, and data pipelines.
• Ensure compliance with AI governance, security, privacy, and ethical AI standards.
• Manage resource planning, team performance, hiring, and capability development.

Desired Profile:

• 12 years of overall experience, with at least 3+ years in leading AI/ML or Data Science teams.
• Strong hands-on experience delivering enterprise-scale AI and Machine Learning solutions.
• Experience in both real-time and batch-processing AI/ML pipelines.
• Advanced proficiency in Python, SQL, and AI/ML frameworks.
• Strong expertise in:
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Generative AI and LLMs
  • Predictive Analytics
  • Recommendation Systems
• Experience with TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and related AI libraries.
• Strong understanding of MLOps, model lifecycle management, and production deployment.
• Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, or similar platforms to improve engineering productivity.
• Proven ability to translate business problems into scalable AI solutions.
• Excellent stakeholder management and communication skills.

Preferred Experience:

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Docker, Kubernetes, Airflow, Spark/PySpark, and ML orchestration tools.
• Experience implementing enterprise GenAI, RAG, Agentic AI, and conversational AI solutions.
• Familiarity with vector databases, knowledge graphs, and AI governance frameworks.
• Experience managing globally distributed teams.
• Exposure to Telecom, SaaS, Enterprise Software, or Product-based organizations.

Leadership Competencies:

• Team Leadership & Mentoring
• Strategic Thinking
• Stakeholder Management
• Project & Program Management
• Innovation & Problem Solving
• Cross-functional Collaboration
• Executive Communication

Educational Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; an MBA is a plus.

Skills

MLOps, Machine Learning, Python