What You'll Work On

• Build and maintain machine learning pipelines running on Databricks
• Design and implement feature engineering pipelines on large-scale datasets
• Develop and improve predictive models for customer and product behavior
• Support experimentation, evaluation, and model performance monitoring
• Contribute to data processing and ML infrastructure
• Collaborate on integrating ML and LLM-based components into production workflows
• Maintain clean, reliable code using GitHub-based development workflows

Tech Stack

• Machine learning frameworks (scikit-learn, LightGBM, PyTorch, etc.)
• Emerging LLM tooling and embeddings
• Python
• Spark / SQL
• Databricks
• GitHub

What We're Looking For

• 1–3 years of experience in machine learning, data science, or ML engineering
• Strong Python programming skills
• Experience working with data pipelines or large datasets
• Familiarity with ML model development and evaluation
• Experience using Git-based workflows
• Comfortable working in a fast-moving startup environment

Nice to have:

• Experience with Databricks or Spark
• Experience with recommendation or prediction systems
• Exposure to LLMs and foundational models
• Experience deploying ML pipelines in production

What We Offer

• Work on real production AI systems
• A small and highly technical AI team
• High ownership and fast iteration cycles
• Opportunity to shape the next generation of AI-driven systems