• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Working with Data Engineering to build and deploy machine learning models to production.
• Develop and maintain data pipelines, building framework for monitoring machine learning systems.
• Continuously improve the performance and scalability of machine learning models.
• Analyze and evaluate the performance of the recommendation systems and identify opportunities for improvement.
• Stay up-to-date with the latest machine learning research and technology trends.

Education/Qualification/ Experience:

• Bachelors or greater degree in Computer Science, Math, Computer Engineering or related technical discipline.
• 3+ years of experience in building and deploying machine learning models.
• Experience with data processing and visualization with Pyspark, Pandas.
• Experience with working on production AI systems.
• Experience with noSQL and SQL databases.
• Strong problem-solving skills, with the ability to identify and resolve technical issues in a timely manner.
• Good understanding of software engineering and DevOps skills (Docker, Git, CI/CD, etc..).
• Excellent communication and collaboration skills.

COMPETENCY REQUIREMENTS:

• At least 2 years of experience with Python.
• At least 1 year of experience with one of the frameworks such as Airflow or Tensorflow.
• Strong experience in Python programming language and Big data frameworks such as Pyspark.