Senior Manager - AI / ML

We are looking for a highly skilled and experienced Senior Manager- Product Engineering (AI/ML)to lead and scale our AI/ML initiatives. In this role, you will drive the development, deployment, and optimization of AI/ML models and solutions that directly impact business outcomes. You will lead a team of data scientists, machine learning engineers, working closely with product, engineering, and business stakeholders. Responsibilities: Lead the end-to-end lifecycle of AI/ML projects, from problem definition and data exploration to model development, deployment, and monitoring.Manage and mentor a cross-functional team of AI/ML professionals.Define the AI/ML roadmap and strategy aligned with business goals.Oversee model accuracy, performance, and ethical AI practices.Collaborate with engineering and product teams to integrate ML models into production systems.Stay abreast of the latest AI/ML technologies, frameworks, and research.Ensure scalability, reliability, and performance of AI/ML systems.Present findings and insights to senior leadership and stakeholders.Drive innovation by identifying new AI opportunities within the organization. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related field (Ph. D. preferred).12+ years of experience in AI/ML, with at least 3 years in a leadership or managerial role.Strong proficiency in Python, Agentic AI, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.Deep understanding of machine learning algorithms, deep learning, NLP, and data mining techniques.Experience with cloud platforms (AWS, GCP, or Azure) and ML Ops tools, and a strong understanding of cloud deployment technologies like Kubernetes or Docker containers.Proven track record of deploying AI solutions in production environments.Excellent leadership, project management, and communication skills.Knowledge of data privacy regulations and ethical AI practices.Publications or patents in the AI/ML field.Experience with Multi-Modal ML, including Generative AI. We are looking for a highly skilled and experienced Senior Manager- Product Engineering (AI/ML)to lead and scale our AI/ML initiatives. In this role, you will drive the development, deployment, and optimization of AI/ML models and solutions that directly impact business outcomes. You will lead a team of data scientists, machine learning engineers, working closely with product, engineering, and business stakeholders. Responsibilities: Lead the end-to-end lifecycle of AI/ML projects, from problem definition and data exploration to model development, deployment, and monitoring.Manage and mentor a cross-functional team of AI/ML professionals.Define the AI/ML roadmap and strategy aligned with business goals.Oversee model accuracy, performance, and ethical AI practices.Collaborate with engineering and product teams to integrate ML models into production systems.Stay abreast of the latest AI/ML technologies, frameworks, and research.Ensure scalability, reliability, and performance of AI/ML systems.Present findings and insights to senior leadership and stakeholders.Drive innovation by identifying new AI opportunities within the organization. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related field (Ph. D. preferred).12+ years of experience in AI/ML, with at least 3 years in a leadership or managerial role.Strong proficiency in Python, Agentic AI, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.Deep understanding of machine learning algorithms, deep learning, NLP, and data mining techniques.Experience with cloud platforms (AWS, GCP, or Azure) and ML Ops tools, and a strong understanding of cloud deployment technologies like Kubernetes or Docker containers.Proven track record of deploying AI solutions in production environments.Excellent leadership, project management, and communication skills.Knowledge of data privacy regulations and ethical AI practices.Publications or patents in the AI/ML field.Experience with Multi-Modal ML, including Generative AI.