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.
Now we are looking for a Middle ML Operations Engineer to join us as part of our team.
About the role
As a Middle ML Operations Engineer, you will support teams in building and deploying AI-driven solutions, helping them overcome common challenges throughout the ML development, deployment, and support lifecycle. This role provides autonomy in decision-making, encouraging a proactive approach to solving complex issues and optimizing scalable systems.
You’ll join the PitchBook project — a leading platform for investment professionals. Our software provides fast access to financial data and analytical tools, helping users uncover actionable insights and promising opportunities. It reveals trends hidden within the financial data of more than three million companies. PitchBook is used worldwide by large corporations, startups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.
Team composition
1 EM, 6 ML Ops Engineers (UA/US)
Work Environment
The role offers a flexible work schedule, allowing you to adapt your working hours. You’ll collaborate closely with the team from the US.
As a qualified expert, You will
- Act as a force multiplier for development teams by creating golden paths that remove roadblocks and foster innovation.
- Collaborate with engineers, product managers, and internal stakeholders in an Agile environment to drive development forward.
- Independently design and deliver end-to-end tasks with minimal guidance from senior team members.
- Support teams building and deploying AI applications by addressing common pain points in the Machine Learning Development Lifecycle (MLDLC).
- Continuously learn and explore new tools, technologies, libraries, and frameworks (both commercial and open source) to enhance PitchBook’s AI capabilities.
- Uphold company values by modeling and promoting desired behaviors.
- Participate in cross-functional initiatives and projects as needed.
- Evaluate frameworks, vendors, and tools to optimize processes and costs, with minimal supervision.
We’re looking for you if you have
- A degree in Computer Science, Information Systems, Machine Learning, or a related field (preferred) or equivalent practical experience.
- 3+ years of hands-on experience in developing, deploying, and maintaining Machine Learning algorithms and services, including post-deployment monitoring and maintenance.
- 2+ years of experience working with AWS and/or GCP.
- Experience with at least 50% of the following technologies:
ML & AI Frameworks: PyTorch, TensorFlow, LangChain, scikit-learn
Databases & Search: Redis, Elasticsearch, SQL/NoSQL databases
Cloud AI Services: Amazon SageMaker, Google Vertex AI, Weights & Biases
APIs & Monitoring: FastAPI, Prometheus, Grafana
Orchestration & MLOps: Apache Kafka, Apache Airflow, MLflow, Kubeflow - Strong expertise in cloud-native delivery, including containerization technologies (Kubernetes, Docker).
- Proficiency in GitOps and experience in creating and managing CI/CD pipelines.
Strong programming skills in Python (Java is a plus) and familiarity with other relevant languages and tools. - Ability to break down complex problems into well-defined steps, ensuring iterative development and continuous improvement.
- A problem-solving mindset, with a focus on innovation, efficiency, and scalability in a global context.
- Strong communication and collaboration skills, with the ability to engage effectively with internal stakeholders across different cultures and regions.
- Ability to work both independently and as part of a team.
- Experience working across multiple development teams is a plus.
- Languages: English — upper-intermediate (B2+), Ukrainian — fluent (spoken and written).
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.
Embrace the opportunity for personal and professional growth
Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.
Be among like-minded people
Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.
Interview steps
- Interview with the recruiter.
- Tech Screening.
- Technical Full Round: System Design, ML Depth & Breadth, and Live Coding on Leetcode with an ML Engineer (PitchBook) – 1.5 hours
- Manager’s Interview.
