
Senior Data Science Manager
6 days ago
Role & responsibilities
- Lead end-to-end development and deployment of ML and GenAI models into product
environments.
- Manage and mentor a team of data scientists and ML engineers, providing both
technical and career guidance.
- Drive the integration of ML workflows into scalable engineering pipelines.
- Oversee quality monitoring, performance drift tracking, and continuous improvement
of deployed models.
- Collaborate with cross-functional stakeholders including product, engineering, and
design teams to align ML solutions with product goals.
- Contribute to architectural decisions involving LLMs, RAG systems, and agentic
workflows.
- Maintain technical excellence by staying updated on the latest research in ML and
GenAI.
Preferred candidate profile
- Bachelors or Masters degree in Computer Science, Data Science, or a related field.
- 5 to 7 years of ML experience, including hands-on work with supervised learning, NLP,
and production deployment.
- At least 2 years working directly with LLMs (e.g., GPT-4, Claude, Gemini).
- Experience with MLOps tooling and practices (CI/CD, monitoring, model versioning).
- Strong Python skills with libraries such as PyTorch, scikit-learn, and Hugging Face.
- Proven track record in leading data science projects from ideation to delivery.
- Strong communication and project management skills
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