Related skills
postgres python jupyter dvc mlflow๐ Description
- Design and develop ML infra, tooling, and models for teams.
- Explain data lifecycle and ML experimentation to teams.
- Build internal platforms to embed AI into features.
- Consult on ML patterns and tradeoffs for customer outcomes.
- Build scalable services for data integration and events.
- Write high-quality, testable code and own delivery.
๐ฏ Requirements
- 5+ years in ML/AI, preferably NLP.
- TB-scale data experience (100M to 10B records).
- ML-driven B2B multi-tenant apps in production at scale.
- Proficient with Python, Jupyter, Dagster, MLFlow, Kubeflow, DVC, Triton.
- Experience with LLMs, RAG, Prompt Engineering, and fine tuning.
- Data labeling/annotation for audio or text.
- Distributed systems design for scalable, observable services.
- Cloud experience (AWS, GCP) and internal libraries/SDKs.
๐ Benefits
- Fully remote in India with overlap to India/US hours.
- Collaborative, cross-functional teams with growth opportunities.
- Inclusive, equal-opportunity employer and culture.
- Leadership mentorship and career development.
- Remote-friendly culture and flexible work practices.
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