Manager, Machine Learning Engineering

Design, Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Collaborate with various stakeholders to drive the right adoption and understand changing business needs Minimum of 8 years of relevant work experience and a bachelor's degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree Experience in setting up & nurturing AI / ML teams. Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.