Key Responsibilities:
* Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting.
* Develop and launch secure APIs and DaaS solutions.
* Deploy production-ready ML models and manage their lifecycle.
* Promote data governance and quality standards across the platform.
* Collaborate with cross-functional teams to translate business challenges into technical solutions.
Tech Stack Includes: Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible
Ideal Candidate Profile:
* Significant experience as a Data Science or ML Engineer, with leadership responsibilities.
* Strong Python skills and experience with cloud-based data platforms (preferably Azure).
* Proven success deploying ML models into production.
* Solid understanding of data privacy, governance, and API development.
* Excellent communication skills and stakeholder engagement abilities.
Bonus Points For:
* Experience in insurance or financial services.
* Familiarity with Docker, Kubernetes, or infrastructure-as-code tools.
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