Machine Learning Engineering Manager

4 weeks ago

Atlanta, United States Franklin Fitch Full time

We are working with a global software company that provide a solution within the financial and regulatory space.


About the Role:

We are seeking a highly skilled and motivated Machine Learning Engineering Manager to lead our dynamic team of ML engineers. In this role, you will play a crucial part in driving the success of our machine learning initiatives, ensuring the seamless integration of ML models into production environments, and fostering a culture of innovation and excellence within the team.


Key Responsibilities:


Team Leadership & Development:

  • Lead, mentor, and inspire a team of 5 machine learning engineers, with potential for team growth.
  • Provide guidance on best practices, code reviews, and CI/CD pipelines to maintain high engineering standards.
  • Foster a collaborative and inclusive team culture, ensuring alignment with broader company goals.


Technical Expertise:

  • Oversee the design and implementation of distributed systems and ensure the robustness of ML infrastructure.
  • Utilize observability tools like Grafana for monitoring and maintaining system health.
  • Manage COGS (Cost of Goods Sold) to optimize cost efficiency of ML solutions.
  • Contribute to hands-on problem-solving and incident management, addressing customer issues as they arise.


Product & Stakeholder Engagement:

  • Engage with product teams to align engineering efforts with product goals, ensuring a strong product mindset within the team.
  • Collaborate cross-functionally to drive the successful deployment of machine learning models into production.
  • Work closely with stakeholders to understand business needs, providing subject matter expertise (SME) and technical guidance.


Innovation & Optimization:

  • Lead efforts in RAG (Retrieval-Augmented Generation) and A/B testing to optimize and validate ML models.
  • Champion continuous improvement of ML pipelines and systems, leveraging industry best practices and new technologies.


Incident Management:

  • Take ownership of incident management processes, swiftly addressing and resolving any issues that impact system performance or customer experience.


Qualifications:

  • Proven experience in managing and scaling engineering teams, particularly within the machine learning domain.
  • Strong technical background with expertise in CI/CD pipelines, distributed systems, and observability tools like Grafana.
  • Demonstrated ability to manage costs effectively and drive cost-efficient engineering solutions.
  • Solid experience with product management principles, particularly in a collaborative, cross-functional environment.
  • Hands-on problem-solving skills, with a willingness to dive into technical challenges.
  • Excellent communication skills, with the ability to engage with stakeholders at all levels.
  • Experience with RAG (Retrieval-Augmented Generation) and A/B testing is a plus.


Why Join Us?

This is an exciting opportunity to lead a growing team of talented engineers in a forward-thinking company. You will have the chance to make a significant impact on our machine learning initiatives, work with cutting-edge technologies, and drive innovation in a collaborative and supportive environment.


Application Process:

Please submit your resume and a cover letter detailing your relevant experience and why you would be a great fit for this role.

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