AI Engineer (Data Scientist)

Job Title:
AI Engineer (Data Scientist) – Veterinary AI Solutions

Overview:
Join our innovative team as an AI Engineer (Data Scientist) and revolutionize veterinary healthcare through cutting-edge artificial intelligence. This remote, fast-paced role offers the opportunity to develop impactful AI-powered tools that support clinical decision-making, disease modeling, and diagnostic interpretations. If you're passionate about leveraging data science and machine learning to improve animal health, this is your chance to make a meaningful difference in a collaborative environment that values innovation and domain expertise.

Required Skills:

• Extensive experience developing AI and machine learning models using Python, Pandas, PySpark, and scikit-learn.
• Proven proficiency with the Databricks platform, MLflow, and version control tools like Git.
• Strong background in natural language processing (NLP), including advanced Named Entity Recognition (NER) techniques.
• Hands-on experience applying prompt engineering, fine-tuning, and generative AI tools such as Claude Code.
• Ability to design, prototype, and operationalize AI models for clinical data, including structured and unstructured veterinary records.
• Skilled in statistical analysis, data exploration, visualization, and modeling with large, distributed datasets.
• Excellent collaboration, communication, and technical documentation skills.
• Experience with retrieval-augmented generation (RAG), context engineering, and hybrid knowledge reasoning techniques.

Nice to Have Skills:

• Experience developing and orchestrating AI agents with large language models (LLMs).
• Familiarity with healthcare or life sciences datasets (EMR, radiology, pathology).
• Knowledge of veterinary health informatics, disease taxonomy, or ontology development.
• Experience with knowledge graphs, semantic web, or ontology-based data integration.
• Additional experience with classification algorithms such as decision trees, logistic regression, random forests, SVMs, or neural networks.

Preferred Education and Experience:

• Bachelor’s degree in Data Science, Computer Science, Biomedical Engineering, or a related field.
• 5+ years of industry experience building ML/AI solutions, particularly in Python environments with Pandas, PySpark, and MLflow.
• Demonstrated success in end-to-end data science pipelines, from data sourcing and exploration to modeling and evaluation.

Other Requirements:

• This position is remote, aligned with Eastern Standard Time (EST).
• W2 employment only; no C2C arrangements.
• Ability to collaborate with cross-functional teams and domain experts.
• Willingness to stay current with advances in generative AI, prompt engineering, and veterinary informatics.

Elevate veterinary healthcare with your AI expertise—apply now to become a pivotal part of our innovative team delivering impactful technological solutions!