About Us
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.
And now 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.
As a qualified expert You will
- 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.
We’re looking for you if you have
- Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience)
- 3+ years of experience in hands-on development and deployment of Machine Learning algorithms and services
- 3+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 3+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 50% of:
PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow - Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery, with practical understanding of containerization technologies such as Kubernetes and Docker
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools.
- Good problem-solving skills 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 customers across various cultures and regions.
- Ability to be a team player who can also work independently
- Experience working across multiple development teams is a plus
Bonus points
- Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
- Proficiency in GitOps practices and CI/CD pipeline development and management.
- Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
- LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
- LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
- Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
- RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
- Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
- Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
- Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
- ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
- API development with FastAPI or similar frameworks.
- Java programming experience is a plus.
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
- Pre-Screening with the recruiter
- Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
- ML System Design Interview (up to 60 min)
- Interview with Engineering Manager (60 min)