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Sr. AI/ML Engineer - Java Background - Remote

  • Source: LinkedIn
  • TalentHop
  • Remote
  • United States
  • Full-Time
  • Senior

Job Description

This is a Fully Remote Job

1. About Our Client:

The organization operates in the healthcare technology sector, focusing on improving health outcomes by connecting individuals with essential care services, pharmacy benefits, data, and resources. It addresses challenges in healthcare delivery by leveraging technology to optimize health on a large scale and supports inclusivity and career development within its culture.

2. About the Opportunity:

The Sr. AI/ML Engineer - Java Background role involves designing, developing, and deploying scalable healthcare solutions using modern Java/Spring Boot microservices and AI technologies. The position contributes to advancing healthcare delivery by creating interoperable, automated systems that improve processes in prior authorization, claims, eligibility, and provider data domains.

3. Responsibilities:

  • Design and implement AI-powered solutions addressing complex business challenges with responsible AI use
  • Utilize enterprise AI tools to enhance workflows and automate tasks
  • Monitor emerging trends to guide innovation and solution design
  • Develop and maintain enterprise RESTful APIs and microservices using Java 17/21 and Spring Boot
  • Implement healthcare interoperability standards including HL7 FHIR and Da Vinci Implementation Guides
  • Build event-driven backend components using Apache Kafka and integrate with relational databases
  • Support CI/CD automation, containerization, and cloud deployment strategies using Docker, Kubernetes, and cloud platforms (AWS/Azure)
  • Establish monitoring, logging, and performance observability across distributed systems

4. Requirements:

  • Minimum 5 years of experience in software engineering with microservices and RESTful APIs using Java 17/21 and Spring Boot
  • At least 3 years experience with relational databases (Oracle, PostgreSQL, MySQL) using Spring Data JPA or Hibernate
  • Minimum 2 years working with enterprise AI tools and AI solution components
  • At least 2 years experience with event-driven architectures using Apache Kafka
  • Experience deploying applications in cloud environments (AWS or Azure) using Docker and Kubernetes
  • Familiarity with CI/CD pipelines and version control tools such as Git/GitHub
  • Preferred: Bachelor’’s degree in Computer Science or related field or equivalent experience
  • Preferred: Experience with healthcare interoperability standards and domain knowledge in healthcare operations
  • Preferred: Knowledge of API security protocols such as OAuth 2.0 and JWT

5. Pay Range and Compensation Package:

  • Salary range: $120,100 to $214,500 annually based on full-time employment
  • Compensation considers factors including local labor market, education, experience, and certifications
  • Benefits include a comprehensive package, incentive and recognition programs, equity stock purchase, and 401(k) contribution, subject to eligibility

6. Benefits & Perks:

  • Comprehensive benefits package
  • Incentive and recognition programs
  • Equity stock purchase
  • 401(k) contribution

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Skills

  • Java
  • spring
  • spring-boot
  • fhir
  • Kafka
  • Docker
  • Kubernetes
  • amazon-web-services
  • microsoft-azure
  • oracle
  • PostgreSQL
  • mysql
  • spring-data
  • Hibernate
  • Github
  • oauth
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