Tech Lead, AI/ML

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. 

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. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. 

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. 

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. 

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 1-3 days a week.

Responsibilities:

• Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast 
• Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team
• Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies 
• Establish evaluation criteria for data quality tracking and production ML model tracking 
• Partner with product, research, and engineering to ensure product changes integrate effectively 

Qualifications:   

• 6+ 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 loading
• Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production
• Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps 
• Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 
• 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development 
• Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes 
• Previous experience working in Private Markets, Financial Services or FinTech space 

Preferred Qualifications:   

• 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship 
• Experience migrating data sets and workflows between legacy data platforms and services  
• Familiarity with stream processing and event driven architecture  
• Comfortable moving quickly and working in a fast-paced, agile XP, lean environment 
• Experience in leading offshore and nearsh