Developer Advocate

Local candidates only please.

Will work onsite 3-4 days per week with regular local travel to meetups and conferences (and possibly occasional travel in the US).

Six+ month/W2 ONLY Contract - No C2c, 1099, 3rd Parties or Sponsorship.

Rate: #60-$67/hr.

- No PTO or Paid Holiday offered

• Strong technical background with deep experience in Machine Learning (ML) and MLOps practices. Familiarity with the entire ML development lifecycle (data, training, serving, monitoring).
• Excellent communication and interpersonal skills, capable of building strong relationships.
• Experience in community building and management in a technical environment and ability to create engaging content tailored for a technical audience.
• Basic understanding of and experience working in Linux based environments, including MLOps systems, Kubernetes, and machine learning architectures.
• Ability to write and comprehend code in at least one of the following programming languages: python, golang, java, java script.

Seeking a developer advocate to focus on driving impactful changes to bridge the gap between the company’s engineering community and its broad set of infrastructure tools. A developer advocate collaborates closely with all levels of the engineering staff to promote best practices, collect feedback, and adjust strategies to align with both technological advancements and business objectives. Candidates should exhibit strong technical expertise, excellent communication skills and problem-solving within a technical environment and a proactive approach to community building.

This Developer Advocate is pivotal in championing an open source ML platform aiming for external adoption and establishing it as the industry standard for ML platforms. This role involves bridging the gap with the external ML community, focusing on MLOps best practices across the entire Machine Learning development lifecycle.

• Content Creation:
  Develop high-quality technical content (documentation, tutorials, blog posts, and presentations) focused on MLOps workflows, MLOps tools, and the ML platform to educate and engage the global open-source ML community.
• Community Engagement:
  Build and nurture a vibrant external developer and contributor community for the project. This includes organizing workshops, hackathons, and educational programs to drive external adoption and community contributions.
• Technical Support:
  Provide technical support and troubleshooting guidance to external community users and contributors, focusing on MLOps workflows and platform adoption across the entire service development lifecycle.
• Operational Efficiency:
  Enhance the operational aspects of the developer advocacy program to align with high-level business objectives
• Feedback Loop Management:
  Engage with the developer community and internal teams to collect and analyze feedback. Use this data to prioritize feature requests and bug fixes.
• Strategic Planning:
  Align developer advocacy initiatives with the priorities of the business and engineering teams. Plan and execute on a biannual schedule while adapting to emerging trends and organizational needs.
• Advocacy and Influence:
  Represent the needs of the developer community internally, championing their causes and driving changes that enhance their experience and productivity.

• 7+ years' experience with a strong technical background with deep experience in Machine Learning (ML) and MLOps practices. Familiarity with the entire ML development lifecycle (data, training, serving, monitoring).
• Proven analytical and problem-solving skills, with the ability to engage with the developer community and internal teams to gather and analyze feedback.
• Excelle…