Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
Home View All Jobs (2,170,553)

Job Information

Cardinal Health Full Stack Machine Learning Engineer, Senior Analyst - AI CoE in Honolulu, Hawaii

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE) , we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience.

We are seeking a highly motivated and skilled Full Stack Machine Learning Engineer to join our growing team. You will play a key role in developing, deploying, and integrating impactful AI solutions that address critical business challenges. You will be responsible for building end-to-end AI-powered/driven systems, combining your expertise in machine learning, software engineering, and user interface development.

Why Join Cardinal Health's AI CoE?

  • Make a Real Difference: Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry.

  • Work with a Passionate Team: Join a team of highly skilled data scientists and engineers who are committed to pushing the boundaries of AI in healthcare.

  • Grow and Develop: Access opportunities for professional growth, mentorship, and development within a dynamic and innovative environment.

Responsibilities:

  • Explore, Implement and Support Generative AI Solutions: You will work with the team to explore and implement Generative AI (GenAI) technologies like Large Language Models (LLMs) and Retrieval Augmented Generation (RAG) systems. This may involve tasks like building prompt engineering strategies, integrating LLMs with relevant healthcare data, and evaluating the performance of GenAI models in various applications.

  • Develop, Deploy and Support Machine Learning Models: You will design, build, and deploy machine learning models to tackle a variety of problems including forecasting, classification, risk prediction, and more. This will involve leveraging your expertise in Python, machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, and cloud platforms like Google Cloud Platform (GCP).

  • GenAI/ML Pipeline Development: You will work collaboratively with other engineers and data scientists to build robust and scalable GenAI / ML pipelines, ensuring data quality, model training, and deployment and support efficiency. This may include using tools like Docker, Kubernetes, and Airflow.

  • Build and Maintain APIs for Machine Learning Services: You will design, develop, and maintain RESTful APIs to integrate your ML models and GenAI solutions with existing systems, ensuring efficient data flow and communication between different components of the system.

  • User Interface Development: You will work collaboratively with the team to design, develop and support user interfaces (UI) for applications that leverage your ML models and GenAI solutions. You will have the opportunity to utilize front-end technologies like HTML, CSS, JavaScript, and potentially frameworks like React to create intuitive and user-friendly interfaces.

  • Collaborate with Business Stakeholders: You will work closely with key business stakeholders to understand their needs and translate them into actionable AI-driven solutions. You will help bridge the gap between technical expertise and business requirements.

  • Stay Abreast of Emerging Technologies: You will continuously explore and learn about the latest advancements in AI, particularly in the areas of ML, GenAI, LLMs, and RAG technologies, to ensure that we are leveraging the most effective approaches.

Qualifications:

  • Bachelor's degree in Computer Science or related field, or equivalent work experience, preferred

  • 2-4 years of experience, preferred

  • Machine Learning Fundamentals: Strong understanding of machine learning algorithms, techniques, and their applications.

  • Programming Proficiency: Proficient in Python and comfortable working with machine learning libraries like Scikit-learn, TensorFlow, PyTorch, or similar, preferred.

  • Cloud Computing Experience: Experience with cloud platforms like GCP, AWS, or Azure for data processing, model training, deployment, and management, preferred.

  • Data Engineering Skills: Familiarity with data engineering principles, data pipelines, and working with various data formats, preferred.

  • Full-Stack Development Skills: Experience with front-end technologies (HTML, CSS, JavaScript, potentially React) and backend technologies (Python, Node.js, etc.), as well as API development (RESTful APIs) and microservices architecture, preferred.

  • Communication and Teamwork: Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders, preferred.

  • Experience with Generative AI, LLMs, and RAG technologies, preferred.

  • Experience with CI/CD pipelines for GenAI solutions and ML models, preferred.

  • Familiarity with API development (RESTful APIs) and microservices architecture, preferred.

  • Experience working with healthcare data and understanding of HIPAA regulations, preferred.

  • Knowledge of software engineering patterns and best practices, preferred.

  • Experience with Agile development methodologies and DevSecOps principles, preferred.

Anticipated salary range: $79, 300 - $113,200

Bonus eligible: No

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

  • Medical, dental and vision coverage

  • Paid time off plan

  • Health savings account (HSA)

  • 401k savings plan

  • Access to wages before pay day with myFlexPay

  • Flexible spending accounts (FSAs)

  • Short- and long-term disability coverage

  • Work-Life resources

  • Paid parental leave

  • Healthy lifestyle programs

Application window anticipated to close: 11/23/2024 *if interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

#LI-Remote

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

To read and review this privacy notice click here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

DirectEmployers