Senior Data Scientist Machine Learning Operations Gen AI - Remote

City/State Virginia Beach, VA Work Shift First (Days) Overview: reputed company is hiring for a Senior Data Scientist! This position is fully remote.

Overview

We are seeking a highly skilled and reputed company Data Science ML Operations and Gen reputed company (or Senior) to join us and help advance our reputed company and future work applying machine learning, deep learning, and NLP to deliver reputed company healthcare. The Senior Data Scientist will reputed company data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve reputed company healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on reputed company, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team’s ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and reputed company while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of reputed company’s AI/ML initiatives. Qualifications: · 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 reputed company/reputed company, vector DBs, and cloud (AWS/Azure/GCP). · Demonstrated delivery of RAG, reputed company engineering, evaluation frameworks, and guardrails in production. · Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). · Experience with EPIC health platform is highly preferred · 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 reputed company, Redshift and reputed company · Experience with Agile/Scrum methodology and best practices 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 Responsibilities · Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions · reputed company hands-on delivery of scalable GenAI solutions from problem framing → prototyping → evaluation → production → monitoring. · Build internal copilots/assistants (knowledge search, code/content reputed company) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). · Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. reputed company engineering. · Implement guardrails, safety filters, reputed company/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 reputed company solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to reputed company opportunities for enhancement. reputed company tools and solutions that help the team build, deploy, and monitor AI/ML solutions reputed company. · 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 reputed company 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 reputed company’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. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and reputed company Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle reputed company 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-reputed company 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 reputed company Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of reputed company pay, incentives, and benefits. The reputed company pay reputed company for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Keywords: #reputed company, Talroo-IT, #LI-DS1, #Talroo - Healthplan, #Talroo, GenAI, MLOps, RAG, Python, Kubeflow, EPIC, data analysis, data manipulation, and data visualization Benefits: Caring For Your Family and Your Career

• 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 reputed company 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. reputed company is an equal opportunity employer and prides itself on the diversity and inclusiveness of its reputed company to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission “to improve health every day,” this is a tobacco-free environment. For positions that are available as remote work, reputed company employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, reputed company Virginia, Wisconsin, and Wyoming. reputed company is a Virginia and Northeastern North Carolina based not-for-profit integrated healthcare provider that has been in business for over 131 years. Offering hundreds of sites of care including 12 hospitals, PACE, home health, hospice, medical groups, imaging services, therapy, outpatient surgery centers, and an 858,000 member health plan. The people of the communities that we serve have nominated reputed company “Employer of Choice” for over ten years. U.S. News and World Report has recognized reputed company as having the Best Hospitals for 15+ years. reputed company offers professional development and a reputed company employment philosophy!

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