AI/ML Manager

Role & responsibilities

• Lead the design, development, and deployment of machine learning models and AI systems.
• Manage and mentor a team of data scientists, ML engineers, and analysts.
• Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.
• Oversee the implementation of ML pipelines including data preprocessing, model training, evaluation, and deployment.
• Ensure scalability, performance, and reliability of AI/ML systems in production environments.
• Establish best practices for model governance, monitoring, and retraining.
• Drive innovation by exploring emerging ML techniques and tools.
• Communicate technical concepts and project progress effectively to stakeholders and leadership.

Preferred candidate profile

• Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field.
• Minimum 6 years of experience in AI/ML roles, with at least 2 years in a managerial or leadership capacity.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Experience with cloud platforms (Google Cloud, AWS, Azure) and ML infrastructure.
• Solid understanding of data engineering, model deployment, and MLOps practices.
• Excellent problem-solving, communication, and team management skills.
• Experience in building and scaling AI solutions across different industries.
• Familiarity with data governance, security, and compliance in AI systems.
• Exposure to real-time inference systems and multi-modal ML models.