ML Tech Lead

Job Details: Position: ML Tech lead Experience: 6+Years Work Mode: Hybrid Location: Pune Shift Timing: Time zone overlap time with US 8:30 pm to 11:30 pm IST 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 Required 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 • 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 nearshore teams is highly valued