Middle ML Operations Engineer

About the Position

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

We are looking for a Middle ML Operations Engineer to join us as part of our team.

About the Role

PitchBook - a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.

We are seeking an experienced and innovative engineer to expand and drive our Data Science and Machine Learning efforts in the EU and Ukraine.

Team setup: 1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment: The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

Responsibilities

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment
• Design and deliver tasks end-to-end with little guidance from Senior team members
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

Requirements

• Experience in Machine Learning and Data Science

Nice to Have

• No secondary skills mentioned

We Offer

• Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth.
• Experience an agile and flexible working environment with a fully remote work setup and a flexible working schedule.
• Embrace the opportunity for personal and professional growth with performance and merit reviews, personal development plans, and individual learnings through the corporate library, public speaking support, and more.
• Be among like-minded people who care about what they do and how they do it. Collaborate with top-notch experts who are always ready to help and support you through any challenges.

About the Company

SPD Technology is a global software product development company that creates cutting-edge tech solutions that drive clients’ growth. We provide software engineering, product development, and IT consulting services to world-renowned companies, ranging from Fortune 500 firms to emerging startups across the globe. Founded in 2006, we’ve delivered over 460 custom projects for high-growth startups, SMBs, and enterprises, building strong partnerships with industry leaders such as PitchBook, Morningstar, Blackhawk Network, Poynt, Space Needle, and many more. Specialising in fintech and digital payment solutions, data engineering, AI/ML, and Cloud technologies, we build products ranging from MVPs to complex, enterprise-grade solutions. We are presented globally: we have 2 development centers in Europe, a representative office in Romania, the U.K., Cyprus, and remote teams, working worldwide from 32 countries around the globe.

Interview Steps

1. Pre-Screening with the recruiter
2. Tech Interview (ML Fundamentals, Software Engineering) + Live Coding (up to 1.5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)

Kateryna Leonova

Middle Talent Acquisition Specialist

Work Type: Full-time, Remote

Location: Poland, Portugal, Romania, Spain, Ukraine

Posted: 3 months ago