Ai Scientist
7 hours ago
XO Health believes healthcare is fixable. Become part of the community changing the face of the industry.
XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone - from those who receive care, to those who deliver it, to those who pay for it.
We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation.
**AI Scientist** - India (Remote)**
**About the Role**:
We are seeking an experienced AI Engineering Manager to lead the design, development, and deployment of cutting-edge AI solutions across XO Health. You'll be responsible for building scalable data architectures, mentoring a team, and driving innovation in our approach to AI/ML. You'll play a key role in ensuring our data lake is clean and optimized, supporting the delivery of impactful AI models that directly benefit our users.
**What You'll Do**:
- Data Lake Management: Cleaning, filtering, and optimization of XO Health's data lake to ensure high-quality data for AI initiatives.
- Business Analytics: Support business operation by doing data analysis, uncovering trends and insights that inform decision-making. Build and maintain dashboards and reporting tools to help internal teams.
- AI Model Development & Deployment: Development and deployment of AI/ML models within the organization, focusing on delivering impactful solutions.
- Data Architecture & Pipelines: Implement robust data architecture, including database schemas (Graph DB, SQL, NoSQL), and efficient ETL/ELT pipelines to support scalable algorithm deployments aligned with business priorities.
- Proof of Concept Development: Development of technology proof-of-concepts to validate new data and cloud solutions. Experiment with new AI Technologies.
- Cross-Functional Collaboration: Effectively communicate and collaborate with internal XO Health teams to ensure alignment on AI initiatives.
**Required Qualifications**:
- Bachelor's or Master's degree in a STEM field (Computer Science, Engineering, etc.) or equivalent experience.
- 3+ years of experience in data engineering, data science, software engineering, or ML Ops specializing in AI and ML deployment.
- 1+ years of experience designing and supporting production-level cloud solutions.
- Strong proficiency in:
- Python (required)
- SQL
- Linux CLI
- 1+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL).
- Ability to clearly communicate (verbal and written) data findings and help turn insights into practical next steps for stakeholders.
**Preferred Qualifications**:
- Master's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
- Cloud certifications
- Expertise in Nodejs, Angular, React
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