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Senior Machine Learning Engineer
2 weeks ago
You will be responsible for driving the end-to-end development of RAG systems and Agentic AI components, identifying and resolving complex AI/ML pipeline issues in production environments.
Main Responsibilities- Pipeline Development: Develop and implement machine learning pipelines to drive business outcomes.
- Collaboration: Work with cross-functional teams to integrate practical solutions, document insights, and share knowledge.
- 8-10 years experience in Machine Learning/ Data Science with 1.5-2 years hands-on Generative AI experience.
- Proven RAG or machine learning skills (implementation, debugging, optimization).
- Knowledge of Agentic AI frameworks (practical exposure preferred over theory).
- Python expertise—clean code, debugging mastery, and pipeline troubleshooting.
We prioritize execution over architecture. Show us your:
- Resume
- GitHub/LeetCode (if available)
- A brief note on your most complex RAG debug or model choice and feature identification approach.
- Impact: Ship real Generative AI and/or Machine Learning products.
- Culture: Zero ivory towers—we value doers over theorists.
- Mentorship: Opportunity to be mentored by successful practitioners.