Machine Learning Analyst

Responsibilities

• Partner with AI/ML product teams to proactively identify data needs for rapid experimentation and stable production deployment.
• Ensure data availability by collaborating with Product teams.
• Support Data Analysts, Data Scientists, MLOps engineers in developing optimized data models, pipelines and frameworks.
• Build pipelines to ingest, clean, and transform structured, semi-structured, and unstructured data formats.
• Conduct data profiling, validation, and anomaly detection.
• Build vector databases for semantic search and retrieval of unstructured content.
• Collaborate with data scientists and ML engineers to design end-to-end generative AI solutions.
• Build clean, error-free MVP ready data models.

Requirements

• 5 years of experience that includes ETL/ELT workflow experience in design, configuration, data mapping, extraction, transformation and loading.
• Writing code and maintaining it.
• Data warehousing high-level principles and understanding of business intelligence.
• Experience working with Databricks and Apache Spark/PySpark.
• Proficiency with complex SQL development.
• Fluent in English.