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The Manager, AI/ML oversees the strategic implementation and operational management of artificial intelligence and machine learning projects. This role guides multi-functional teams and ensures the effective integration of AI/ML models into business operations. Responsibilities include coordination of AI/ML workflows, performance improvement, and fostering innovation within the organization.
Job Responsibility:
Lead and manage AI and ML operations, ensuring alignment with organizational goals and objectives
collaborate with data scientists, data engineers, and UI developers to design, develop, and deploy AI/ML models and solutions
manage and evaluate the performance of AI/ML systems, making recommendations for improvements and optimizations
develop and implement operational strategies, policies, and best practices for AI/ML workflows
lead project timelines, budgets, and resources to ensure successful delivery of AI/ML initiatives
Requirements:
Bachelor's Degree in Data Science, Computer Science/Engineering, or Information Technology
2-4 years of proven experience leading highly effective teams in an AI/ML operations environment
4-7 years of experience managing complex CI/CD pipelines, governing ML models, version tracking, maintaining data lineage, and applying best practices
solid understanding of AI and ML concepts, frameworks, and methodologies coupled with a deep understanding of cloud platforms and services (e.g., Azure, Google Cloud, AWS)
proficiency in programming languages such as Python, R, or Java and experience with AI/ML libraries like Pyspark, TensorFlow, PyTorch, Scikit-learn
experience with data management and analysis tools, including SQL and data visualization software
excellent project management skills with a proven track record of successfully handling multiple projects
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