Description

You will operationalize machine learning models and integrate them into production environments.

Responsibilities

• Partner with Data Scientists and Data Engineers to deploy models and pipelines into on-premise and cloud production environments.
• Transform data science prototypes into production-ready systems by building APIs and data delivery services.
• Automate model training, testing, and deployment via machine learning continuous delivery pipelines.
• Train and retrain models while designing metrics to verify algorithm effectiveness and performance.
• Optimize technical solutions for scalability and ensure high data flow integrity between databases and backend systems.

Required Skills

• 5+ years of professional experience in machine learning or software engineering.
• Proficiency with Python, Java, or Scala.
• Experience with Spark and scalable data extraction tools such as Cassandra or MongoDB.
• Hands-on experience with AI/ML frameworks including TensorFlow, Apache MXnet, or Theano.
• Working knowledge of version control systems like GIT (GitLab, Bitbucket, or similar).
• Experience using JIRA and VersionOne for project management.
• Ability to develop deep learning systems and automate ML pipelines.

Key Skills

Education

Any Gradute