Description

You will design and build machine learning systems to solve complex business problems.

Responsibilities

• Develop and deploy ML models and automated pipelines for high-impact business use cases.
• Manage feature stores and monitor model performance and reliability.
• Apply advanced ML techniques, including NLP, entity resolution, and AI agents.
• Optimize models and pipelines for scalability, performance, and cost efficiency.
• Collaborate with stakeholders to translate business challenges into ML solutions.

Required Skills

• 12+ years of experience in AI/ML, data science, or data engineering.
• Hands-on expertise with Python, PySpark, Databricks, and Delta Lake.
• Proficiency with cloud platforms, specifically AWS, Azure, or GCP.
• Strong foundation in ML algorithms, statistics, and mathematics.
• Direct experience with MLOps, model versioning, CI/CD, and monitoring.
• Knowledge of data governance, quality monitoring, and drift detection.
• Experience utilizing AI/ML and Data Science methodologies.

Key Skills

Education

Bachelor's or Master's degrees