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!