AI/ML Platform Lead
18 hours ago
Job Details:
Position: AI/ML Platform 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 an accurate, secure, and fast AI/ML platform
- 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, GPT3.5/4.0) 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 AI/ML 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:
- 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 a 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
Key Skills:
- Collaboration, ML engineering, Snowflake, model registry, AWS, agile, SQL, GitHub, JIRA, Python, data science, CI/CD, MLOps, Git, project, Jupyter Notebooks, AI/ML
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