AI/ML Engineer 2 – Louisville, KY (Healthcare Domain)

Work Authorization: We are open to H1B and H4-EAD transfers. Please note, we are not accepting Green Card holders at this time.

Shape the Future of Healthcare with AI

Are you an AI/ML Engineer passionate about using technology to make a real-world impact on patient lives? We are looking for a talented individual to join our innovative team onsite in Louisville, Kentucky. In this role, you will apply your expertise in machine learning and deep knowledge of healthcare data to develop solutions that directly improve healthcare outcomes and operational efficiency. If you are ready to tackle complex challenges in a mission-driven environment, we encourage you to apply.

Your Role and Impact as our AI/ML Engineer

You will be at the forefront of developing and deploying intelligent models that analyze complex healthcare data. Your work will translate into predictive insights, advanced analytics, and tools that support clinicians and improve patient care.

Key Responsibilities for the AI ML Engineer Position

• Model Development: Design, develop, and implement robust AI and ML models specifically tailored for real-world healthcare applications.

• Data Handling: Work extensively with large and sensitive healthcare datasets, including Electronic Health Records (EHR), insurance claims, HL7/FHIR streams, and medical imaging data.

• Cross-Functional Collaboration: Collaborate directly with clinicians, data engineers, product managers, and business stakeholders to understand needs and deliver actionable, data-driven insights.

• Optimization and Compliance: Optimize models for performance, scalability, and strict compliance with healthcare regulations including HIPAA and other data security standards.

• Documentation: Meticulously document all processes, algorithms, and results to meet both regulatory requirements and facilitate operational use.

Required Skills and Qualifications for AI/ML Engineer

• Hands-on programming experience with Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.

• Strong background and proven experience working with healthcare data such as EHR systems, clinical workflows, insurance claims data, or population health metrics.

• Proficiency in SQL and experience working with big data platforms like Databricks, Snowflake, Azure Synapse, or Google BigQuery.

• Working knowledge of HL7/FHIR standards, a deep understanding of HIPAA compliance requirements, and the unique challenges of handling healthcare data.

• Excellent problem-solving abilities and strong communication skills to explain complex technical concepts to non-technical audiences.

Preferred Qualifications

• Prior hands-on experience in healthcare-specific predictive modeling, Natural Language Processing (NLP) for clinical notes, or computer vision for medical imaging.

• Practical experience with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.

• An advanced degree (Master’s or PhD) in Computer Science, Data Science, Computational Biology, or a related field.

Ready to Apply and Make a Difference?

If you are a skilled AI/ML engineer looking to apply your talents to meaningful problems in healthcare, we would be delighted to review your application. This is a fantastic opportunity to grow your career while contributing to a noble cause.

Take the Next Step:

Discover more exciting opportunities in tech and data on our careers page: Check out other positions.

For insights and a conversation about your career goals, connect with our career expert on LinkedIn: Let’s discuss your next career move.

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3. FAQs Section

1. What is the primary focus of this AI/ML Engineer role?
The primary focus is on designing and building machine learning models that solve specific problems in the healthcare domain using data like EHR, claims, and medical imaging.

2. What is the work authorization policy for this position?
This role is open to candidates on H1B transfer or those with H4-EAD work authorization. We are not accepting applications from Green Card holders at this time.

3. Is this position fully onsite?
Yes, this role requires you to work onsite from our offices in Louisville, Kentucky.

4. What types of healthcare data will I work with?
You will work with a variety of data, including Electronic Health Records (EHR), insurance claims, HL7/FHIR data streams, and potentially medical imaging data.

5. How important is knowledge of HIPAA and HL7/FHIR for this role?
It is critically important. A strong understanding of these regulations and standards is a core requirement to ensure compliance and effectively work with healthcare data.

6. Are remote or hybrid work options available?
No, this is a strictly onsite position in Louisville, KY.

7. What is the interview process like?
The process typically involves a phone screening, followed by technical interviews focused on AI/ML and healthcare data, and finally a behavioral and team-fit interview.

8. What level of experience is required?
While the ad doesn’t specify years, the required skills indicate a need for a mid to senior-level engineer with hands-on experience in both ML and the healthcare sector.

9. Does the role involve working with clinical teams?
Yes, collaboration with clinicians and other healthcare stakeholders is a key part of the role to ensure the models are clinically relevant and actionable.

10. What cloud platforms does the team use?
Experience with Azure, GCP, or AWS is preferred, with specific platforms like Databricks and Snowflake being highly valuable.

11. Is relocation assistance provided to Louisville, KY?
This detail is not provided in the initial description and would be a key question to ask during the initial interview screening.

12. What is the team structure like?
You will be working within a collaborative team that includes other data engineers, data scientists, and AI/ML specialists, all focused on healthcare applications.

13. What is the most challenging aspect of this role?
The biggest challenge is often the complexity and sensitivity of healthcare data, requiring robust models that are also fully compliant with strict privacy regulations.

14. Are there opportunities for professional development?
Given the cutting-edge nature of the field, there are likely opportunities to learn new techniques, tools, and earn certifications relevant to AI in healthcare.

15. Who is the ideal candidate for this position?
The ideal candidate is an experienced ML engineer who is not only technically proficient but also deeply curious about healthcare and passionate about having a positive social impact.