Description

You will serve as a Senior Solutions Architect, driving technical strategy and implementation for data science solutions.

Responsibilities

• Own the technical design and presentation of data science solutions to both technical and executive audiences.
• Guide the complete Data Science lifecycle, covering feature engineering, model development, deployment, and management.
• Design and implement ML operationalization (MLOps) practices for model deployment and monitoring.
• Develop and maintain data pipelines using ETL processes and scripting.

Required Skills

• 14+ years of experience in a pre-sales or post-sales technical role 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 including 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