Tech Lead - AI/ML

Key Responsibilities

Tech Lead for AI/ML Team:

• Technical Leadership:
• Lead the AI/ML development lifecycle including problem framing, data collection, model building, evaluation, and deployment.
• Drive architectural decisions and best practices in AI/ML systems design.
• Mentor and support junior engineers and data scientists.
• Provide customer Demo for the in-house products.
• Project Delivery:
• Manage multiple ML projects, ensuring timely delivery, scalability, and quality.
• Work closely with stakeholders to translate business problems into ML solutions.
• Own and manage model performance, explainability, and drift monitoring in production.
• Collaboration:
• Collaborate with product managers, software engineers, and data engineers to integrate ML solutions into applications and services.
• Communicate effectively with technical and non-technical stakeholders.
• Innovation & R&D:
• Stay up to date with the latest AI/ML research and tools.
• Drive the adoption of new technologies and approaches that improve AI capabilities and efficiency.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. PhD preferred.
• 6+ years of experience in ML/AI engineering, including at least 2 years in a technical leadership role.
• Strong expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Deep understanding of algorithms, statistics, optimization, and data structures.
• Experience deploying ML models in production (e.g., MLOps, CI/CD for ML).
• Proficient in Python and SQL; experience with cloud platforms (AWS, GCP, or Azure).
• Excellent problem-solving skills and the ability to make technical decisions under uncertainty.

Preferred Qualifications

• Experience with NLP, computer vision, or generative AI models (e.g., LLMs).
• Familiarity with ML model governance, compliance, and responsible AI practices.
• Experience working in Agile/Scrum environments.
• Contributions to open-source AI/ML projects or publications in peer-reviewed journals. Must have skills
• AI
• AIML
• Data Scientist
• Python
• SQL
• ML Model
• Machine Learning
• AI models