[Hiring] Structured Data Integration & Testing Engineer @BlueCross BlueShield of Tennessee
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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 Now
Apply Now
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 Now
Apply Now