Senior Manager (Machine Learning)

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 data governance, 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).
8+ years of experience in AI/ML, with at least 3 years in a leadership or managerial role.
Strong proficiency in Python, 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 MLOps tools.
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
8-12 yrs