About the Company: [Provide a brief introduction to the company, its mission, and culture.]About the Role: [A short paragraph summarizing the key role responsibilities.]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 effectively Qualifications: Education detailsRequired Skills: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 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 Altery3+ 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 Private Markets, Financial Services or FinTech space Preferred Skills: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 valued Pay range and compensation package: [Pay range or salary or compensation]Equal Opportunity Statement: [Include a statement on commitment to diversity and inclusivity.]
Job Title
Tech Lead- AI ML