Description

You will act as a senior technical architect guiding solutions for clients.

Responsibilities

• Design and present technical solutions to both technical and executive audiences.
• Own the understanding and application of the complete Data Science lifecycle, from feature engineering through model management.
• Develop and deploy models using MLOps methodologies and cloud services.
• Implement data-related logic using SQL and scripting languages.

Required Skills

• 14+ years of experience in a pre-sales or post-sales technical role with customers.
• University degree in Data Science, Computer Science, Engineering, Mathematics, or equivalent experience.
• Thorough understanding of ML model deployment and monitoring.
• Hands-on scripting proficiency in Python, Java, or Scala.
• Experience with SQL and data warehousing technologies like Snowflake.
• Working knowledge of cloud platforms, specifically AWS or Azure.
• Experience with ML libraries including Pandas, PyTorch, and TensorFlow.

Preferred Skills

• Experience with GenerativeAI, LLMs, or Vector Databases.
• Experience utilizing Databricks or Apache Spark.

Key Skills

Education

Any Gradute