Description

You will lead the production, delivery, and integration of machine learning solutions within the business.

Responsibilities

• Design architecture for model evaluation and model serving infrastructure.
• Identify business areas for machine learning application by engaging with technology and operational leaders.
• Implement production machine learning systems using Python, R, and AWS.
• Build and manage data processing and model deployment pipelines.

Required Skills

• 5+ years of professional experience.
• 2+ years of experience in machine learning applications and MLOps.
• Proficiency in Python, R, and SQL (MySQL, PostgreSQL).
• Hands-on experience with PySpark, Spark ML, sklearn, and pandas.
• Experience building pipelines using Apache Airflow, Apache Beam, or Amazon Pipeline.
• Advanced knowledge of Linux (bash) and Unix environments.
• Strong SQL and HiveQL skills.
• Working knowledge of the Hadoop ecosystem.
• Understanding of software development principles, SDLC, agile, and code reviews.
• Core understanding of machine learning and statistical principles.

Preferred Skills

• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Key Skills

Education

Any Graduate