Description

You will design and deliver machine learning solutions using Databricks, H2O, and core cloud data science tools.

Responsibilities

• Implement machine learning models and algorithms on Databricks and H2O.
• Build tools to accelerate feature experimentation, lineage, data privacy, and model debugging.
• Develop ML-as-a-service components to move experiments into production quickly.
• Manage AWS assets including compute, storage, and identity management.
• Collaborate with Product Owners to initiate, deliver, and communicate projects using agile processes.

Required Skills

• 5+ years of technology industry experience.
• 3-4+ years of experience implementing machine learning algorithms in production.
• Proficiency in writing SQL and Spark.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience developing models and data science work with Python or R.
• Knowledge of Data Engineering and Deep Learning.
• Familiarity with ML Ops pipelines or CI/CD implementations.

Preferred Skills

• Quantitative graduate degree.
• Proficiency in JavaScript, Go, or Scala.
• Experience acting as a project manager.

Key Skills

Education

Any Graduate