
Data Scientist and Machine Learning Engineer
5 days ago
We are seeking a pioneering leader in artificial intelligence to join our innovative lab, where you will harness advanced technologies for personalized health experiences and evidence-based decision-making.
The ideal candidate will lead the design, development, and optimization of intelligent prediction systems, generative, and agentic AI solutions that can autonomously reason, act, and adapt. Collaborating across departments, including IT, data science, and business stakeholders, you will build robust, scalable AI solutions that drive innovation and support user outcomes.
This role requires strong technical leadership, model governance, collaboration, solution orientation, and mentorship skills. You will be responsible for guiding junior AI engineers and cross-functional teams in best practices for model development and deployment.
The successful candidate will possess at least 5 years of experience in AI engineering or applied machine learning, with hands-on experience in predictive modeling, generative AI, agentic systems, and ML Ops workflows. Strong analytical thinking, attention to detail, and excellent communication and teamwork capabilities are essential.
Key Responsibilities:- Design and develop scalable, secure AI workflows and autonomous agents
- Ensure model accuracy, fairness, explainability, and compliance
- Partner with data scientists, product managers, and domain experts to deploy and refine predictive, generative, and agentic AI features
- Apply MVP and prototyping approaches to rapidly test predictive hypotheses and agentic workflows
- Guide junior AI engineers and cross-functional teams in best practices for model development and deployment
- Bachelor's degree in Computer Science, Engineering, or related field (advanced degree preferred)
- Proven experience in designing scalable AI workflows and autonomous agents using GCP Vertex AI, Python, Snowflake, and CI/CD pipelines with GitHub Enterprise
- Strong understanding of model accuracy, fairness, explainability, and compliance with ethical and regulatory standards
- Demonstrated ability to lead technical teams, mentor junior engineers, and collaborate effectively with cross-functional stakeholders
- Excellent analytical thinking, attention to detail, and a solution-oriented mindset with strong communication and teamwork capabilities
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