Position OverviewWe are seeking a highly skilled Machine Learning ML Lead Developer to design develop and lead the implementation of advanced ML solutions The ideal candidate will combine deep technical expertise in machine learning AI frameworks and software development with leadership skills to guide a team of data scientists and engineers This role requires close collaboration with product managers business stakeholders and cross functional engineering teams to deliver scalable and impactful AI driven solutionsKey ResponsibilitiesLeadership StrategyLead the design development and deployment of ML models and AI driven applicationsDefine the technical roadmap for ML initiatives aligned with business objectivesMentor and guide a team of ML engineers data scientists and software developersML Development EngineeringBuild optimize and maintain scalable machine learning pipelinesEnsure efficient data collection preprocessing feature engineering and model trainingDeploy and monitor ML models in production using MLOps best practicesEvaluate and experiment with state of the art ML AI algorithms frameworks and toolsCollaboration CommunicationWork with product teams to translate business problems into ML driven solutionsCollaborate with data engineers to ensure reliable data pipelines and infrastructureCommunicate results insights and technical decisions to stakeholders clearlyGovernance Best PracticesEstablish coding documentation and testing standards for ML projectsEnsure ethical AI practices model explainability and regulatory complianceDrive innovation while balancing accuracy performance and scalabilityRequired QualificationsBachelor s Master s degree in Computer Science Data Science AI ML or related field6 years of professional experience in ML AI development with at least 2 years in a lead or senior roleProficiency in Python TensorFlow PyTorch Scikit learn and related ML frameworksStrong background in statistics deep learning NLP computer vision or recommendation systemsSolid understanding of data structures algorithms and software engineering principlesProven track record of successfully deploying ML models in production at scaleHands on experience with LLMs generative AI or reinforcement learningExperience leading cross functional AI ML projects in enterprise environmentsStrong business acumen and ability to connect ML solutions to ROI
