Machine Learning Engineer, GenAI
This position requires candidates to work in-office at our Houston, TX location. ALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking a Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable GenAI models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.
Responsibilities:- Develop and deploy production-ready AI/ML models, with a focus on scalability and monitoring across a broad range of applications within healthcare
- Write efficient, maintainable, and scalable Python code
- Collaborate with machine learning scientists, data engineers, front end, back end developers to write production-ready code
- Set up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retraining
- Incorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cycles
- Maintain best software engineering and MLOps practices within the healthcare industry
- Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements
Key Responsibilities and Qualifications:- Proven experience in deploying, scaling, integrating, and maintaining generative AI applications.
- Strong understanding and experience in software engineering and MLOps best practices
- Experience with unit testing and regression testing to ensure quality and stability.
- Preferred: Experience working with Azure DevOps, Azure App Services, and Azure Functions.
- Preferred: Experience with fine-tuning and pre-training language models and embedding models.
- Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.
Other Requirements:- Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experience
- At least 1-2 years of relevant experience as an ML Engineer or software engineer
- Experience writing production-ready code, troubleshooting and bug fixing
- Strong proficiency in LangChain, vectorDB and cloud platforms (Azure)
- Experience with MLOps, monitoring, and CI/CD
- Experience with transformer-based models,NLP, LLM models, preferably for biomedical/healthcare applications
- Strong interest in healthcare, with preferred experience working with healthcare data
- Bonus: experience with RAG and Agents
- Ability to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelines
- Candidates should be able to articulate why they are looking to leave their current role and what they are seeking in a new opportunity.
Job Type: Full-time
Pay: Competitive pay, benefits, and extremely valuable startup stock options
Schedule: Full Time
Benefits:
- Dental insurance
- Health insurance
- Vision insurance