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The Manager, Machine Learning Engineering will oversee the strategic implementation and operational management of AI and ML projects, coordinating teams, optimizing processes, and integrating models into business operations. Responsibilities include team leadership, AI/ML model performance management, and driving operational strategies.
Job Responsibility:
Lead and manage AI and ML operations
Collaborate with data scientists, engineers, and UI developers to design, develop, and deploy AI/ML solutions
Manage and evaluate performance of AI/ML systems
Develop and implement strategies, policies, and best practices for AI/ML workflows
Lead project timelines, budgets, and resources.
Requirements:
Bachelor's Degree in Data Science, Computer Science/Engineering, or Information Technology
2-4 years of proven experience leading highly effective teams in AI/ML operations
4-7 years of experience managing CI/CD pipelines, governing ML models, and applying best practices
Solid understanding of AI and ML concepts, frameworks, and methodologies
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 (e.g., Pyspark, TensorFlow, PyTorch, Scikit-learn)
Experience with data management and analysis tools, including SQL and data visualization software
Ability to stay ahead of industry trends and drive innovation
Excellent project management skills with experience managing multiple projects simultaneously
Strong analytical and problem-solving skills with the ability to interpret complex data sets
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