KlariVis is looking to solve the data conundrum in the banking industry by building and delivering product features powered by data analytics, ML, and generative AI for the KlariVis platform.
Requirements
- 8+ years of software development experience with strong proficiency in Python (4+ years advanced level)
- 3+ years of SQL expertise and hands-on relational database design and optimization experience
- 3+ years developing and deploying ML models, or 1.5+ years building generative AI applications using LLM APIs
- Experience with Pandas, scikit-learn, charting libraries (Matplotlib, Plotly, Seaborn), and Power BI/Tableau a plus
- Exposure to open-source LLMs (Hugging Face), structured data extraction, or natural language analytics is a strong plus
- Knowledge of Azure cloud, Azure SQL, PySpark, Django/Streamlit/Dash is desirable
- Proficiency with Git/Azure DevOps and CI/CD practices
Responsibilities
- Build and deliver product features powered by data analytics, ML, and generative AI for the KlariVis platform.
- Integrate ML/GenAI services into product UIs and APIs while ensuring performance, reliability, and observability.
- Lead internal AI and automation projects that enhance operational efficiency and business impact.
- Develop and optimize data pipelines in Python and SQL, design relational schemas, and implement access controls.
- Apply MLOps best practices for model versioning, deployment, testing, and monitoring.
- Collaborate cross-functionally with Product, BI, DevOps, and QA, while mentoring peers and elevating team standards.
Other
- Strong problem-solving skills, collaborative mindset, and ability to deliver in production environments
- A collaborative, innovative culture where ideas drive impact
- Opportunities to work on cutting-edge ML and GenAI applications
- Competitive compensation and benefits
- A supportive environment that values professional growth
