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Sentara Health · 22 hours ago

Senior Data Scientist Machine Learning Operations Gen AI - Remote

United States

Full-time

Remote

Mid, Senior Level

$91K/yr - $152K/yr

5+ years exp

Sentara Health is hiring for a Senior Data Scientist to advance their work in applying machine learning and AI to improve healthcare outcomes. The role involves leveraging data analysis and machine learning expertise to solve complex healthcare challenges, collaborate with cross-functional teams, and optimize healthcare processes.

Hospital & Health Care

H1B Sponsor Likely

Responsibilities

Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions

Lead hands-on delivery of scalable GenAI solutions from problem framing → prototyping → evaluation → production → monitoring

Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation)

Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering

Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls

ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently

System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities

Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team’s needs

Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges

As part of Sentara’s Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include:

Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc

Take offline models data scientists build and turn them into a real machine learning production system

Qualification

Machine LearningGen AIPythonML OpsStatistical AnalysisDeep LearningNLPSQLCloud (AWS/Azure/GCP)APIsAgile/ScrumData VisualizationData ManipulationHealthcare Experience

Required

5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI

Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP)

Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production

Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring)

Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring

Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake

Experience with Agile/Scrum methodology and best practices

Bachelor's Degree (Required)

Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets

Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff

Required to have strong proficiency in data analysis, data manipulation, and data visualization using Python

Required to have familiarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data

Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research

Required to have strong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras)

Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development

Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred

Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT

Preferred

Experience with EPIC health platform is highly preferred

Previous work experience with Generative AI and ML Ops in healthcare EPIC environment

Understanding of use and implementation of Vector Databases

Kubernetes container orchestration experience

Benefits

Medical, Dental, Vision plans

Adoption, Fertility and Surrogacy Reimbursement up to $10,000

Paid Time Off and Sick Leave

Paid Parental & Family Caregiver Leave

Emergency Backup Care

Long-Term, Short-Term Disability, and Critical Illness plans

Life Insurance

401k/403B with Employer Match

Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education

Student Debt Pay Down – $10,000

Reimbursement for certifications and free access to complete CEUs and professional development

Pet Insurance

Legal Resources Plan

Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.

Company

Sentara Health

Glassdoor3.7

Sentara Health, an integrated, not-for-profit health care delivery system, celebrates more than 135 years in pursuit of its mission - "we improve health every day." Sentara is one of the largest health systems in the U.S.

Founded in 1988

Hampton Roads, VA, US

10001+ employees

http://www.sentara.com

H1B Sponsorship

Sentara Health has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (30)

2024 (7)

2023 (1)