Job Details:
Position: ML Tech lead
Experience: 6Years
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 (25
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 handson 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 fastpaced agile XP lean environment
Experience in leading offshore and nearshore teams is highly valued
collaboration,ml engineering,snowflake,model registry,aws,agile,sql,github,jira,python,data science,ci/cd,mlops,git,project,jupyter notebooks,aiml