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About the role
As a Machine Learning Engineering Manager at EcliptOS, you will play a crucial role in ensuring client success and delivering exceptional technical solutions. Your responsibilities will include: - Acting as a trusted advisor to clients to help them achieve desired outcomes and maximize the value of EcliptOS solutions - Managing a team of Machine Learning Engineers, guiding and supporting them in delivering top-notch technical solutions - Overseeing client relationships and collaborating with cross-functional teams to enhance client experiences and drive continuous improvement Your growth at EcliptOS will be fostered by a high-performance culture that values resilience, innovation, and continuous learning. You can expect: - Opportunities for continuous learning through structured programs and feedback mechanisms aimed at accelerating your growth - A platform to voice your ideas and contribute to innovative solutions while upholding ethical standards - Exposure to a global community of diverse colleagues, providing a rich learning environment - Competitive salary and comprehensive benefits package to support your holistic well-being and that of your family Qualifications and Skills Required: - Degree in CS/Engineering or equivalent experience - 5+ years of experience working with enterprise clients, preferably in data engineering or analytics - Expertise in software development/deployment, particularly in Python - Strong understanding of data engineering, data science, and GenAI concepts - Experience with deployment and infrastructure management using Docker and Kubernetes - Excellent problem-solving skills for resolving complex data engineering challenges - Client-focused mindset with a passion for delivering value - Strong communication and collaboration skills to build trust and influence stakeholders at all levels At EcliptOS, your dedication and curiosity will be met with resources, mentorship, and opportunities for growth, enabling you to become a stronger leader and make a meaningful impact on clients' success. As a Machine Learning Engineering Manager at EcliptOS, you will play a crucial role in ensuring client success and delivering exceptional technical solutions. Your responsibilities will include: - Acting as a trusted advisor to clients to help them achieve desired outcomes and maximize the value of EcliptOS solutions - Managing a team of Machine Learning Engineers, guiding and supporting them in delivering top-notch technical solutions - Overseeing client relationships and collaborating with cross-functional teams to enhance client experiences and drive continuous improvement Your growth at EcliptOS will be fostered by a high-performance culture that values resilience, innovation, and continuous learning. You can expect: - Opportunities for continuous learning through structured programs and feedback mechanisms aimed at accelerating your growth - A platform to voice your ideas and contribute to innovative solutions while upholding ethical standards - Exposure to a global community of diverse colleagues, providing a rich learning environment - Competitive salary and comprehensive benefits package to support your holistic well-being and that of your family Qualifications and Skills Required: - Degree in CS/Engineering or equivalent experience - 5+ years of experience working with enterprise clients, preferably in data engineering or analytics - Expertise in software development/deployment, particularly in Python - Strong understanding of data engineering, data science, and GenAI concepts - Experience with deployment and infrastructure management using Docker and Kubernetes - Excellent problem-solving skills for resolving complex data engineering challenges - Client-focused mindset with a passion for delivering value - Strong communication and collaboration skills to build trust and influence stakeholders at all levels At EcliptOS, your dedication and curiosity will be met with resources, mentorship, and opportunities for growth, enabling you to become a stronger leader and make a meaningful impact on clients' success.
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