Senior ML & AI Engineer

About the Position

We are looking for a Senior ML & AI Engineer to join our fintech team at SPD Technology. This role is fully remote and offers a flexible work schedule. You will be responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team.

About the Role

PitchBook’s Machine Learning Engineer is responsible for using machine learning, statistical modeling, and natural language processing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for the capital markets. This role will also serve as a resource and mentor for junior members of the team. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team.

Responsibilities

• Work with GenAI & LLMs: Design, develop, and fine-tune generative AI models using transformer architectures. Implement advanced techniques to create practical solutions for real-world challenges.
• Use Modern Toolkits: Leverage frameworks like LangChain, LangGraph, and LangSmith to build automated pipelines and intelligent agents. Integrate these tools with vector databases for efficient similarity search and real-time analysis.
• Extract Data Insights: Process and analyze large volumes of unstructured data using embeddings and statistical modeling to identify meaningful insights.
• Build Scalable Systems: Collaborate with cross-functional teams to create production-grade ML systems that handle real-time, high-volume data processing.
• Mentor & Lead: Act as a mentor for junior team members and stay updated on trends in Agentic AI, transformer models, and generative systems.
• Collaborate & Communicate: Work with Product and Engineering teams to improve data management and support innovation. Present complex analyses clearly and effectively.

Requirements

• Educational Background: You hold a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• Experience: You bring 4+ years of production experience in the ML field, with a track record in developing transformer-based models and deploying them in scalable systems.
• Technical Expertise:
  • Innovative Thinker: You thrive on solving complex problems and are always exploring new trends in Generative AI.
  • Collaborator & Communicator: You’re an excellent communicator able to collaborate and express your thoughts in a professional manner to team members, other engineering teams, and stakeholders.
  • Domain Knowledge: Exposure to financial services, investment banking, venture capital, or private equity is nice to have.

Tech Stack & Focus Areas

• Work with generative AI and transformer models, integrating frameworks like LangChain, LangGraph, and LangSmith to automate workflows and build intelligent systems.
• Use PyTorch, Scikit-Learn, and Spacy to build NLP pipelines.
• Implement vector databases for high-dimensional data embeddings and develop hybrid models to extract insights from diverse data sources.

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.

Interview Steps

1. Pre-Screening with the recruiter
2. Technical interview (up to 90 min)
3. System Design interview (up to 45 min)
4. Behavioral Round with Product Manager (45 min)
5. Final interview with Engineering Manager (30 min)

About the Company

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.

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.