Lead Machine Learning Engineer

At Forge (NYSE: FRGE), we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, humble and accountable. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to planet-saving, plant-based nutrition and more.Our mission is to empower more people to exercise ownership in the world’s leading private companies via a world-class technology platform with access to the largest network of buyers and sellers in the world. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible and seamless for companies, their employees and investors.The Role:As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, you’ll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance.This will be a hybrid role where you'll be onsite 1-2 days a week.Responsibilities:Design, develop, and maintain a AI/ML platform that is accurate, secure, and fastLead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the teamProvide coaching and mentorship to members of the data team on architecture, software development best practices, and new technologiesEstablish evaluation criteria for data quality tracking and production ML model trackingPartner with product, research, and engineering to ensure product changes integrate effectivelyRequired Qualifications:8+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loadingSkilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to productionProven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOpsSkilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project developmentSignificant collaboration with research teams, contributing hands-on research skills that advance project outcomesPrevious experience working in Fintech, Financial Services or Private Markets spacePreferred Qualifications:2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorshipExperience migrating data sets and workflows between legacy data platforms and servicesFamiliarity with stream processing and event driven architectureComfortable moving quickly and working in a fast-paced, agile XP, lean environmentExperience in leading offshore and nearshore teams is highly valuedForge is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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