We are seeking a Machine Learning and AI Engineer with a strong software engineering foundation and a deep interest in AI systems. You’ll work within a small, dynamic team designing and operationalizing cloud-based ML and AI services that drive real healthcare impact. This role demands adaptability, technical curiosity, and fast learning - the technology stack evolves constantly, and you’ll be exposed to many different tools, frameworks, and architectural patterns. You’ll contribute across the full lifecycle: data pipelines, model orchestration, infrastructure automation, and production integration.
Key Responsibilities
- Build and maintain end-to-end ML and AI pipelines for training, inference, and monitoring.
- Develop and integrate cloud-native services that host, scale, and automate AI workloads.
- Extend the company’s MLOps framework through infrastructure-as-code, containerization, and CI/CD practices.
- Collaborate with data engineers and software developers to optimize data flows and model delivery.
- Implement secure and auditable architectures that align with healthcare compliance standards.
- Participate in AI R&D initiatives, quickly learning and applying emerging technologies and tools.
- Contribute to documentation, engineering standards, and team knowledge sharing.
What We’re Looking For
Core Skills:
- Solid background in software engineering, with emphasis on clean design, testing, and maintainable code.
- Proficiency in Python and experience with modern cloud environments (AWS, Azure, or GCP).
- Understanding of scalable architectures - containers, APIs, workflow orchestration, and automation.
- Experience with ML pipelines, data workflows, or AI service integrations.
- Ability to work independently, prioritize effectively, and deliver in dynamic settings.
Mindset:
- Learns fast and adapts easily to new tools, frameworks, and technologies.
- Cloud-first thinking - naturally comfortable working with managed services and distributed systems.
- Curious and analytical - enjoys experimenting and optimizing performance.
- Collaborative - values communication and alignment with data, product, and compliance teams.
Preferred Experience:
- Familiarity with regulated or security-sensitive environments (e.g., healthcare, finance).
- Exposure to modern AI platforms and APIs, or interest in generative and conversational AI.
- Knowledge of ML model monitoring, explainability, or continuous training pipelines.
Eligibility & Compliance Requirements
- Applicants must be U.S. Citizens or U.S. Permanent Residents (Green Card holders). No exceptions.
- Employment eligibility and identity will be verified prior to interview through a compliant third-party verification service.
- This role involves access to sensitive health and system data; adherence to confidentiality and data protection protocols is mandatory.
Why Join Us
- Direct impact on building a modern AI platform in the healthcare domain.
- Small, agile team - broad exposure to the entire cloud and AI technology stack.
- Opportunity to grow quickly, learn continuously, and influence core architectural decisions.
- Fully remote, flexible environment emphasizing autonomy and technical excellence.
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Disclaimer:
The above statements are intended to indicate the general nature and level of work performed by employees within this position. They are not designed to contain or be interpreted as an exhaustive list of all duties, responsibilities, skills, and qualifications required of employees assigned to this job. AMC Health is an equal opportunity and affirmative action employer and ensures that all qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, national origin, disability or veteran status. Job Type: Full-time Pay $125,000 - $135,000
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: Remote