Senior Full Stack Machine Learning Engineer

3 days ago

Houston, Texas, United States Cardinal Health Full time

At Cardinal Health's AI Center of Excellence, we're pushing the boundaries of healthcare with cutting-edge data science and AI.

Our mission is to leverage data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the healthcare experience.

We're seeking a highly motivated and skilled Full Stack Machine Learning Engineer to join our team.

You'll play a key role in developing, deploying, and integrating impactful AI solutions that address critical business challenges.

You'll be responsible for building end-to-end AI-powered systems, combining your expertise in machine learning, software engineering, and user interface development.

Why Work with Us?

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

Collaborate 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 and Implement Generative AI Solutions: You'll work with the team to explore and implement Generative AI technologies like Large Language Models and Retrieval Augmented Generation 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 and Deploy Machine Learning Models:

You'll 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.

Contribute to AI/ML Pipeline Development:

You'll work collaboratively with other engineers and data scientists to build robust and scalable AI/ML pipelines, ensuring data quality, model training, and deployment efficiency.

This may include using tools like Docker, Kubernetes, and Airflow.

Build and Maintain APIs for Machine Learning Services:

You'll design, develop, and maintain RESTful APIs to integrate your ML models and AI solutions with existing systems, ensuring efficient data flow and communication between different components of the system.

Contribute to User Interface Development:

You'll work collaboratively with the team to design and develop user interfaces for applications that leverage your ML models and AI solutions.

You'll 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'll work closely with key business stakeholders to understand their needs and translate them into actionable AI-driven solutions.

You'll help bridge the gap between technical expertise and business requirements.

Stay Abreast of Emerging Technologies:

You'll 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're 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, 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

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