At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.
Join HCSC and be part of a purpose-driven company that will invest in your professional development.
Required Job Qualifications:
Bachelor’s degree in network engineering, Computer Science, or a related discipline.
Minimum 10 years of relevant work experience.
Proven track record of technical leadership
Possess a solid understanding of foundational machine learning concepts and algorithms and have extensive experience deploying production-grade machine learning solutions
Possess extensive experience in at least one cloud platform (e.g., AWS, GCP, Azure) and be well-versed in associated machine learning services, such as Amazon SageMaker, Azure ML, and Databricks
Work with the infrastructure and cloud provisioning teams to implement Azure cloud infrastructure solutions using Infrastructure as Code (IaC) principles and tools
Offer technical leadership on high-impact projects, ensuring they meet quality standards and are aligned with the organization's objectives.
Lead the development, deployment and management ML models into production, ensuring seamless integration with existing systems and monitoring model performance.
Influence and coach a distributed team of engineers and facilitate alignment and clarity across teams on goals,
Excellent communication and technical presentation skills
Able to think strategically and tactically and to build consensus to make programs successful.
Hands-on experience of 4 - 6 yrs with Python, Django, FastAPI
Experience of 2-4 yrs in deploying infrastructure as code tools e.g. Azure Bicep or Terraform
Hands-on experience in one or several of the following areas: Machine Learning, Data Engineering, DevOps and MLOps
Experience with Azure DevOps for CI/CD, unit testing, and AGILE development
Exposure working with ML teams and deploying models in domains eg. convex optimization, statistical models, time-series models, and Reinforcement Learning/DRL
Experience developing and deploying monitoring tools e.g. Elastic search, Grafana
Preferred Job Qualifications:
Post-graduate qualifications in Computer Science, Data Engineering or professional qualifications in Advanced Data Design, Big Data.
Extensive experience with Azure ML tools and services.
Experience in implementing Generative AI solutions.
Proven experience designing and managing cloud infrastructure for enterprise applications.
Expertise in cloud platforms such as AWS or Azure Cloud.
Strong understanding of security and compliance frameworks.
Strong knowledge of network architecture, virtualized environments, and security protocols.
Effective communication and collaboration skills
Previous experience as Cloud Architect or similar role.
Excellent problem-solving and analytical skills.
Working knowledge of agile principles, and experience leading in a Scaled Agile paradigm.
Medicare/Medicaid knowledge
Experience with a cloud platform such as AWS and the services available in there to build and host the applications. Key services: S3, Lambda, CloudFront, API Gateway, DynamoDB / RDS, IAM, KMS. Experience with ECS/EKS, Docker and Kubernetes are an advantage.
Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!
Pay Transparency Statement:
At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.
The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan.
We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.
Exact compensation may vary based on skills, experience, and location.
Want to know if this job is worth applying to?
Nashville, Tennessee, United States
Remote only