AI Scientist

XO Health Inc.; Singapore; On-site; USD 3,500,000 - 4,000,000; Full time

Job summary

XO Health Inc. is on a transformative journey in healthcare and seeks an AI Scientist to lead innovative AI solutions. This position involves data architecture, building scalable AI models, and mentoring teams, all aimed at enhancing healthcare delivery. Candidates must possess substantial experience in data engineering and AI, along with strong programming skills, especially in Python. Join us in revolutionizing healthcare with data-driven solutions!

Qualifications

• 7+ years in data engineering, data science, or software engineering.
• 3+ years in AI Solution lifecycle.
• 1+ year of team management experience.

Responsibilities

• Lead development and deployment of AI/ML models.
• Manage data lake for high-quality data initiatives.
• Collaborate cross-functionally on AI projects.

Skills

Python

SQL

Machine Learning

Data Engineering

Statistical Analysis

Education

Bachelor's or Master's in STEM

Tools

Cloud Infrastructure

ETL/ELT Pipelines

Job description

XO Health believes healthcare is fixable. Become part of the community changing the face of the industry.We are growing a multi-disciplinary team of diverse and digitally empowered employees ready to rebuild trust in healthcare through comprehensive and unified transformation.Lead AI Scientist - India (Remote)Position Summary:We are seeking an experienced AI Scientist 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: Lead the 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: Lead the development and deployment of AI/ML models within the organization, focusing on delivering impactful solutions.Data Architecture & Pipelines: Participate in design and 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.Cloud Infrastructure & Scalability: Participate in architectural discussions and ensure solutions are designed for successful scale, security, and high availability within the cloud or on-prem environments.Technical Debt: Take ownership of technical debt and follow best practices.Performance Management: Define frameworks, metrics and measures to measure the statistical significance of AI solutions in dev, test and production environments.Proof of Concept Development: Lead the definition and execution of technology proof-of-concepts to validate new data and cloud solutions.Production Deployment: Lead the experimentation with AI/ML algorithms and their deployment into production environments.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, Physics, etc.) or equivalent experience.7+ years of experience in data engineering, data science, software engineering, or ML Ops specializing in AI and Machine Learning deployment.3+ years of experience in complete AI Solution lifecycle starting from designing to developing, deploying and support in production.Strong hands-on experience in building large scale ML based solutions.Strong proficiency in Python (required), SQL, and Linux CLI.1+ years of team management experience delivering complex projects.2+ 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 (AWS preferred).Experience with GPU computing (CUDA, OpenCL).Expertise in Nodejs, Angular, React.1+ years of experience in ML Ops.Full compensation packages are based on candidate experience and relevant certifications.3,500,000 - 4,000,000 INR,

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