Staff AI Engineer – Clinical Solutions

This is a fully remote position, open to applicants in Maine.

📋 Description

• Create, prototype, and implement AI models utilizing Python, Databricks, and MLflow specifically for veterinary healthcare applications.

• Employ machine learning and natural language processing techniques on both structured and unstructured clinical data, such as EMR records, diagnostic imaging, and laboratory results.

• Formulate predictive models to assess disease risk, prognosis, and treatment outcomes.

• Collaborate with veterinary specialists to convert domain-specific questions into scalable data science solutions.

• Develop explainable AI models to aid clinical decision-making and foster trust in automated insights.

• Contribute to the establishment of evaluation frameworks for AI-driven tools and solutions.

• Work alongside data engineers to create scalable data pipelines on Databricks.

• Implement prompt engineering and retrieval-augmented generation (RAG) techniques to enhance generative AI performance.

• Engage in agile development cycles, ensuring clear documentation and experiment traceability.

• Utilize Git version-control best practices effectively.

• Enhance veterinary diagnostics, enable earlier interventions, and support healthcare decisions for both veterinarians and pet owners.

⛳️ Requirements

• Bachelor’s degree in Data Science, Computer Science, Biomedical Engineering, or a related discipline.

• Required experience with Generative AI, LLM, Python, Databricks, and RAG.

• Over 5 years of experience in developing ML/AI solutions using Python, Pandas, PySpark, scikit-learn, and MLflow.

• Proficiency in handling large, distributed datasets.

• Solid foundation in machine learning, NLP, and statistical methodologies.

• Experience in data exploration, analysis, and visualization techniques.

• Capability to construct and deploy comprehensive data science solutions.

• Strong skills in SQL and data transformation.

• Experience with Git for collaborative development efforts.

• Excellent communication, collaboration, and documentation abilities.

• Competence in navigating the entire data science lifecycle.

• Familiarity with prompt engineering and generative AI methodologies.

• Experience with agentic workflows or LLM frameworks.

• Knowledge of healthcare or life sciences datasets, including EMR, radiology, and pathology information.

• Understanding of knowledge graphs, ontologies, or semantic data modeling principles.

🏝️ Benefits

• Opportunity for an annual cash bonus.

• Health, Dental, and Vision benefits available from Day One.

• 5% matching 401k plan.

• Pet insurance coverage.

• Access to mental health resources.

• Paid days off for volunteering activities.

• Employee stock program participation.

• Matching for foundation donations.

• Competitive compensation package, including incentives and benefits.