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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Build and improve forecasting models for ecommerce and retail analytics
- Develop AI-powered features and insights using LLMs and generative AI
- Design, deploy, and monitor production-ready ML systems
- Build context-aware AI solutions using RAG and client-specific data
- Collaborate with engineering teams to deliver scalable, data-driven products.
Requirements
What you’ll need- Experience building and deploying production machine learning solutions
- Strong Python skills and hands-on experience with modern ML frameworks
- Experience developing LLM-based applications and generative AI workflows
- Knowledge of MLOps, model monitoring, and the end-to-end ML lifecycle
- Strong product mindset with solid data engineering and problem-solving skills.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningForecasting ModelsGenerative AIAI Solutions DevelopmentModel Monitoring
Soft Skills
Problem-SolvingCollaboration
