Artificial Intelligence Team Lead

Responsibilities Team Leadership & Management Lead, mentor, and conduct performance reviews for an AI team. Oversee the team's workflow (Agile/Scrum), ensuring efficient delivery, high code quality, and robust CI/CD/MLOps practices. Manage project planning, resource allocation, and timeline estimation for AI initiatives. Translate high-level business objectives into technical roadmaps for AI and Data Science products. Drive high-level architectural decisions, selecting the right tools, frameworks, and cloud infrastructure to ensure scalability and performance. Stay ahead of the curve on AI trends and guide the team in moving valid PoCs into production. Provide expert guidance on complex problems and mentor team members on technical challenges. Ensure the reliability and scalability of data pipelines, labeling processes, and model deployment strategies. Collaborate with Product Managers and other Engineering Leads to ensure cross-functional alignment. AI Development & Architecture Build AI infrastructure, including model serving, monitoring, and observability systems. Design and build AI Agents capable of complex reasoning, multi-step planning, and tool execution. Lead the development of RAG systems and agent memory services. Design and develop multi-agent systems where specialized agents collaborate to execute workflows, manage state, and handle error recovery autonomously. Lead the fine-tuning and alignment of commercial and open-source LLMs for domain-specific tasks. Design ML models and statistical algorithms for user behavior analysis, segmentation, and personalization. Design recommendation systems, including collaborative filtering, content-based methods, and deep learning-based approaches. Qualifications BSc degree in Computer Engineering, AI, Mathematics, or a related field (MSc/PhD preferred). Minimum of 7 years of professional experience in Data Science, MLOps, and AI development after bachelor graduation. Currently holding a senior or lead-level position. Strong proficiency in Python programming and data science libraries. Experience with recommendation systems algorithms and concepts. Hands-on experience with frameworks for building and integrating RAG and LLM-based applications. Proficiency with CI/CD processes and MLOps best practices. Proficiency in written and spoken English. Ability and motivation to self-teach, enter new domains, and manage ambiguity. Preferred / Nice-to-have Qualifications MSc or Ph.D. in Artificial Intelligence or Data Science. Certifications or deep experience with AWS/GCP/Azure AI services. Published papers or active contributions to the open-source AI community. Experience with model monitoring, A/B testing frameworks, and production ML systems at scale. Interview Process Phone Screening Technical Interview Final Interview  Important Note Candidates must have at least 7 years of professional experience in AI/Data Science after graduation and currently hold a senior or lead-level position. Candidates with less experience will not be considered for this Team Lead role.