Senior Machine Learning and Model-Based Analytics Engineer

KlariVis is a well-known and respected provider of SaaS-based analytics to the banking industry. The Senior Machine Learning and Model-Based Analytics Engineer will be responsible for developing product features based on machine learning and generative AI, working closely with various teams to translate requirements into shipped features.

Responsibilities:

• Developing analytics product features using generative AI, machine learning, statistical, heuristic, and rule-based approaches
• Building model-based analytics such as householding, deposit churn, deposit forecasting, customer lifetime value forecasting, and prescriptive analytics models
• Participating in code reviews
• Writing automated tests
• Monitoring deployed models and AI applications
• Following KlariVis’s security, data handling, and change management practices

Requirements:

• At least 7 years of software development experience, ideally within a software product organization
• At least 5 years of senior-level Python development experience
• Experience building Python solutions using Pandas, scikit-learn, other Python machine learning libraries, and Python charting libraries such as Matplotlib, Seaborn, and Plotly
• Proficiency with good code management practices, including version control processes and tools
• Experience with Git and/or Azure DevOps
• At least 4 years of intensive SQL experience, including the ability to write SQL at a senior level
• At least 3 years of experience working with relational database management systems, including designing and creating tables and understanding DBMS performance mechanisms and role-based access controls
• At least 4 years of experience focused on developing and deploying machine learning models
• Experience deploying both machine learning applications/products and generative AI applications, agents, or tools into production
• Thorough experience with feature development, including feature identification and analysis, feature scaling, and generating derived features
• At least 3 years of data analysis experience
• Additional software development experience in C#, Java, or Scala
• Experience using self-hosted, open-source LLMs to build applications or products with user interfaces that interface with models through APIs, preferably with models hosted on Hugging Face
• Experience using PySpark to process large datasets
• Experience developing in Azure cloud environments
• Experience with Azure SQL
• React/TypeScript UI development experience
• Experience with AI Elements or shadcn/ui