Machine Learning Engineering Manager

Key Responsibilities:

• Lead a team of machine learning engineers.
• Manage resources, including setting priorities and timelines for machine learning projects.
• Oversee the end-to-end execution of machine learning projects, ensuring alignment with business goals and timelines.
• Collaborating closely with engineers to design and develop optimal technical architectures for distributed systems on public cloud platforms.
• Define and track project milestones, deliverables, and key performance indicators (KPIs).
• Present technical findings and progress to non-technical stakeholders.
• Drive innovation within the team by introducing new techniques, methodologies, and technologies.
• Collaborate with engineering teams (Researchers and Software Engineers) to integrate Machine Learning models into production environments, ensuring reliability and scalability.

Requirements:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field.
• At least 7 years of experience in Machine Larning, Data Science or AI.
• At least 3 years of experience in managing and leading teams in a technical environment.
• Proven track record of building and deploying machine learning models in production.
• Proficiency in software development best practices, including adherence to coding standards, conducting code reviews, applying design patterns, managing source control (e.g., GitHub), and implementing test automation and CI/CD pipelines.
• Experience with large-scale data processing, cloud platforms (AWS, Google Cloud, Azure), and Machine Learning frameworks (TensorFlow, PyTorch).