MLOps & Analytics Leader

12 hours ago

Calamba, Calabarzon, Philippines beBeeEngineeringManager Full time $100,000 - $200,000

Job Overview:

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We are seeking a highly skilled and experienced Engineering Manager to lead our MLOps & Analytics team. This is an exceptional opportunity for a talented professional to drive business growth and innovation by developing and implementing machine learning solutions.

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  • Key Responsibilities:

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  • Develop and implement strategies for improving team performance, productivity, and overall efficiency">
  • Lead cross-functional teams to deliver high-quality machine learning projects on time, within budget, and with maximum impact">
  • Collaborate with data scientists, engineers, and other stakeholders to design, develop, and deploy machine learning models">
  • Mentor and grow direct reports, providing guidance, feedback, and coaching to ensure their professional development and success">
  • Stay up-to-date with the latest advancements in machine learning, AI, and analytics, applying this knowledge to drive innovation and excellence">
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Requirements:

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  • Essential Qualifications:

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  • Proven track record of professional experience in software delivery, with a focus on machine learning and AI">
  • Professional python development experience, preferably with a track record in open-source projects">
  • Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing">
  • Experience designing and implementing MLOps solutions, with a focus on scalability, security, and reliability">
  • Excellent communication, collaboration, and leadership skills, with the ability to inspire and motivate team members">
  • Passionate about staying current with industry trends and advancements in machine learning and AI">
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Nice to Have:

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  • Desirable Skills:

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  • Hands-on experience with machine learning libraries, such as TensorFlow or PyTorch">
  • Proven track record of building highly automated machine learning solutions for the cloud">
  • Experience working with container technologies, such as Docker or Kubernetes">
  • Working knowledge of cloud computing platforms, including AWS, Azure, or Google Cloud">
  • Experience working on distributed teams and contributing to open-source projects">
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Benefits:

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  • Why Join Our Team:

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  • Opportunity to work with a talented and passionate team of engineers and data scientists">
  • Chance to contribute to cutting-edge machine learning projects and make a real impact">
  • Competitive salary and benefits package">
  • Flexible working arrangements, including remote work options">
  • Ongoing training and development opportunities">
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Keyword: EngineeringManager

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