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Engineering Manager - Machine Learning Jobs

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Associate IS Engineer - Learning Management Systems
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Join our team in Hyderabad as an Associate IS Engineer specializing in Learning Management Systems. You will design, develop, and maintain critical HR-L&D software applications, ensuring high availability and performance. This role requires strong knowledge of SDLC/Agile methodologies and offers ...
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India , Hyderabad
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Not provided
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Amgen
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Until further notice
Lead the future of intelligent systems as an Engineering Manager in Machine Learning. This pivotal role sits at the intersection of advanced technology, strategic leadership, and product innovation. Professionals in these jobs are responsible for building and guiding high-performing teams of machine learning engineers, data scientists, and researchers to deliver impactful AI-driven solutions. They translate complex business problems into actionable ML roadmaps, ensuring their team's work directly contributes to core product goals and user value. Typical responsibilities for an Engineering Manager - Machine Learning encompass both technical leadership and people management. On the technical side, they oversee the full ML development lifecycle, from problem scoping and data strategy to model development, deployment, and monitoring in production. They establish best practices for ML infrastructure, reproducibility, and scalability, ensuring robust and ethical AI systems. As people leaders, they are tasked with hiring top talent, mentoring engineers, fostering a collaborative and innovative culture, and facilitating career growth. A key part of the role is stakeholder management, effectively communicating technical challenges and progress to cross-functional partners in product, business, and executive leadership. To excel in these jobs, candidates typically require a strong blend of deep technical expertise and proven managerial skills. A solid foundation in computer science, statistics, and machine learning concepts is essential, often backed by an advanced degree and hands-on experience in building and deploying ML models. Equally important are the leadership competencies: the ability to set clear vision, drive project execution, manage priorities, and resolve conflicts. Strong communication skills are non-negotiable, as is a business-centric mindset that aligns technical work with measurable outcomes. For those passionate about shaping both cutting-edge technology and the teams that build it, Engineering Manager - Machine Learning jobs offer a challenging and rewarding career path at the forefront of the AI revolution.

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