Job Description
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves ensuring our member-facing AI assistant delivers accurate, personalized answers—reliably and at scale. • Work across product, engineering, data, and business teams to identify high-value integrations. • Align on data contracts and service expectations. • Connect the assistant to critical APIs and structured data sources. • Drive quality and reliability practices—testing, monitoring, and incident prevention. • Help teams ship dependable capabilities faster, with clearer accountability and fewer surprises. Qualifications • Bachelor's degree in STEM (Science, Technology, Engineering, or Math) or related field or equivalent work experience required. • Master’s or PhD degree in a relevant field (e.g., Computer Science, AI, Machine Learning) strongly preferred. • 5+ years of relevant work experience in analytics, technology, software engineering, or healthcare (academic experience included), or related equivalent experience. • 3+ years of hands-on experience specifically with machine learning, deep learning, and preferably AI models (e.g., LLMs, diffusion models) is required. • Proven experience handling large, complex datasets to build and optimize sophisticated data science pipelines. • Deep experience with Machine Learning, Deep Learning frameworks (e.g., Pytorch, TensorFlow), Natural Language Processing (NLP), and associated libraries (e.g., Hugging Face Transformers). • Experience deploying and managing ML models in cloud environments (GCP Vertex AI preferred, AWS SageMaker or Azure ML acceptable). Requirements • Expert proficiency in Python and relevant data science/ML libraries. • Proficient in Microsoft Office (Outlook, Word, Excel, and PowerPoint). • Proven ability to architect, design, and implement complex systems. • Demonstrated success leading technically challenging projects from conception through to deployment. • Exceptional ability to interpret and translate complex technical concepts into information meaningful to project team members, business personnel, and leadership. • Strong technical leadership and mentorship capabilities. • Must be able to communicate effectively and influence both technical and non-technical co-workers and stakeholders. • Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking. Company Description Apply tot his job
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