Note: The job is a remote job and is open to candidates in USA. IDEXX is an innovation leader in veterinary healthcare, and they are seeking a Staff AI Engineer Clinical Solutions to develop AI-powered solutions that advance veterinary diagnostics. The role focuses on building models and analytical workflows using Python, Databricks, and generative AI tools to support clinical decision-making and disease risk modeling.
Responsibilities
- You will design, prototype, and operationalize AI models using Python, Databricks, and MLflow for veterinary healthcare applications
- You’ll apply machine learning and natural language processing to structured and unstructured clinical data such as EMR records, diagnostic imaging, and laboratory results
- You will develop predictive models for disease risk, prognosis, and treatment outcomes
- You’ll partner with veterinary experts to translate domain questions into scalable data science solutions
- You will build explainable AI models to support clinical decisions and promote trust in automated insights
- You’ll contribute to evaluation frameworks for AI-driven tools and solutions
- You will collaborate with data engineers to implement scalable data pipelines on Databricks
- You’ll apply prompt engineering techniques and retrieval-augmented generation (RAG) to improve generative AI performance
- You will participate in agile development cycles, maintaining clear documentation and experiment traceability
- You’ll use best practices for version control using Git
Skills
- Bachelor's degree in Data Science, Computer Science, Biomedical Engineering, or related field
- Mandatory experience with: Generative AI, LLM, Python, Databricks, LLM, and RAG
- 5+ years of experience developing ML/AI solutions using Python (Pandas, PySpark, scikit-learn, MLflow)
- Experience working with large, distributed datasets
- Strong background in machine learning, NLP, and statistical methods
- Experience in data exploration, analysis, and visualization
- Ability to build and deploy end-to-end data science solutions
- Strong SQL and data transformation skills
- Experience using Git for collaborative development
- Strong communication, collaboration, and documentation skills
- Ability to work across the full data science lifecycle
- Experience with Databricks
- Experience with prompt engineering and generative AI techniques
- Experience with agentic workflows or LLM frameworks
- Familiarity with healthcare or life sciences datasets (EMR, radiology, pathology)
- Knowledge of knowledge graphs, ontologies, or semantic data modeling
Benefits
- Opportunity for annual cash bonus
- Health / Dental / Vision benefits Day-One
- 5% matching 401k
- Additional benefits including but not limited to pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and more
Company Overview
Company H1B Sponsorship