Senior ML Operations Engineer

Stack

Responsibilities

• ▹Act as a force multiplier for development teams by creating golden paths that remove roadblocks
• ▹Collaborate with engineers, product managers and internal stakeholders in an Agile environment
• ▹Provide mentorship, technical guidance and code reviews
• ▹Design and deliver projects end-to-end with little guidance
• ▹Support teams building and deploying AI applications with common MLDLC pain points
• ▹Discover new tools, libraries and frameworks to improve PitchBook's AI capabilities
• ▹Participate in cross-functional company initiatives
• ▹Evaluate frameworks, vendors and tools to optimize processes and costs

Requirements

• ▹5+ years of hands-on software development experience with Python (Java with strong Python proficiency also considered)
• ▹4+ years designing and building distributed software systems and architectures
• ▹3+ years of hands-on experience deploying and operating

Soft skills

What we offer

• ▹Flexible schedule, with attendance at all team meetings required
• ▹Scrum-based Agile methodology

About the company

PitchBook is a platform for investment professionals, offering search, insights and company profiles across the financial data of more than three million companies. The team is one engineering manager and four senior ML Ops engineers.