Middle ML & AI Engineer

SPD Technology; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

SPD Technology seeks a Middles ML & AI Engineer to design, develop, and fine-tune generative AI models, leveraging transformer architectures and state-of-the-art NLP techniques. You will work with LangChain, LangGraph, LangSmith, and modern ML frameworks to surface actionable insights from large data sets.

You will mentor juniors and collaborate with cross-functional teams to deploy production-grade ML systems, focusing on scalable architectures and real-time data processing in a fast-paced,

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
• 4+ years of production experience in ML, with transformer-based models and deployment in scalable systems.
• Proficient in Python and ML/DL frameworks; experience with NLP and modern LLM techniques; full ML lifecycle including data preprocessing, training, evaluation, and monitoring.

Responsibilities

• Design, develop, and fine-tune generative AI models using transformer architectures.
• Build and integrate NLP pipelines with frameworks like PyTorch, Scikit-Learn, Spacy.
• Develop and deploy scalable ML systems handling real-time data.
• Mentor junior team members and stay updated on GenAI trends.
• Collaborate with Product and Engineering to improve data management and support innovation.

Skills

Python

NLP

ML lifecycle

Transformer models

SQL

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or related field

Tools

PyTorch

Scikit-Learn

Spacy

LangChain

LangGraph

LangSmith

Job description

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 & AI Engineer to join us as part of our 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.

About the project

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.

Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials, and many more.

Team

Engineering Manager, 6 MLE’s.

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.

Technical Stack

Python, PyTorch, Scikit-Learn, Spacy, LangChain, LangGraph etc.

As a qualified expert, You Will

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.

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’re looking for you if

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: Proficient in Python and machine and deep learning frameworks like TensorFlow, PyTorch, ScikitLearn, Spacy, or others; experienced in natural language processing and modern LLM-based techniques; experience with full ML lifecycle, data preprocessing, training, evaluation stage, and monitoring techniques; skilled with SQL and data extraction methods. 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 professionally express your thoughts 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.

What’s in it for You

Reveal great tech solutionsJoin the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients 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 build...