Senior Manager, Machine Learning Engineering

4 days ago

Austin, Texas, United States Xometry Full time
Job Title: Senior Manager, Machine Learning Engineering

Xometry is seeking a highly skilled Senior Manager, Machine Learning Engineering to lead our machine learning engineering team. As a key member of our engineering organization, you will be responsible for designing, developing, and deploying machine learning models and systems that drive business value.

Key Responsibilities:
  • Lead a team of machine learning engineers to design, develop, and deploy machine learning models and systems.
  • Collaborate with data scientists, product managers, and other stakeholders to define project requirements and deliverables.
  • Develop and maintain ML Ops pipelines to ensure efficient model training, deployment, and monitoring.
  • Implement and manage infrastructure for large-scale data processing, model training, and inference.
  • Drive continuous improvement in engineering practices, including code quality, testing, and deployment automation.
  • Stay up-to-date with the latest trends and advancements in machine learning, software engineering, and cloud infrastructure to inform team strategy and direction.
Qualifications:
  • Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
  • 8+ years of experience in software engineering, with a focus on machine learning, ML Ops, and infrastructure.
  • Minimum of 3 years of experience in a leadership or management role, with a proven track record of leading engineering teams to successful project outcomes.
  • Strong understanding of machine learning frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with ML Ops practices, including model versioning, continuous integration, and automated deployment.
  • Proficiency in software engineering practices, including object-oriented design, code versioning, and testing.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
  • Strong problem-solving skills, with the ability to lead teams in troubleshooting complex technical challenges.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
  • Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and managing resources effectively.
Preferred Qualifications:
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Knowledge of big data technologies (e.g., Hadoop, Spark) and data engineering practices.
  • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).

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