Description

You will drive technical strategy and implementation for data science solutions, owning the design, presentation, and lifecycle management of ML systems.

This role is on-site.

Responsibilities

• Own technical design and present data science solutions to technical and executive audiences.
• Guide the complete data science lifecycle, including feature engineering, model development, deployment, and management.
• Design and implement MLOps practices for model deployment and monitoring.
• Develop and maintain data pipelines using ETL processes and scripting.

Required Skills

• 14+ years of experience in pre-sales or post-sales technical roles interacting with customers.
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or equivalent experience.
• Strong hands-on scripting ability in SQL and Python, Java, or Scala.
• Deep understanding of core data science libraries: Pandas, PyTorch, TensorFlow, and SciKit-Learn.
• Experience with at least one public cloud platform: AWS, Azure, or GCP.
• Experience with Snowflake and ETL tools.

Preferred Skills

• Experience with Generative AI, LLMs, and Vector Databases.
• Familiarity with DataBricks/Apache Spark.

Key Skills

Education

Bachelor's degree