Note: The job is a remote job and is open to candidates in USA. Alpha Consulting Corp. is seeking an experienced AI Engineer (Data Scientist) to develop AI-powered solutions that advance veterinary healthcare. The role focuses on designing and operationalizing machine learning and generative AI models, predictive analytics, NLP workflows, and explainable AI systems for clinical decision support, disease risk modeling, and interpretation of veterinary diagnostic data. The position also involves collaborating with veterinary experts and data engineers to build scalable, traceable AI solutions on Databricks.
Responsibilities
- Design, prototype, and operationalize AI models using Python, Databricks, and MLflow for veterinary healthcare applications
- Apply machine learning and natural language processing (NLP) to structured and unstructured clinical data, including EMR records, diagnostic imaging, and laboratory/pathology results
- Develop predictive models for disease risk stratification, prognosis, and treatment outcome prediction
- Collaborate with veterinary subject matter experts to translate domain questions into reproducible data science workflows
- Develop explainable AI models to support clinical decision-making and trust in automated recommendations
- Contribute to the creation of quality evaluation frameworks for AI-driven tools
- Partner with data engineers to implement scalable data ingestion and processing systems on Databricks
- Utilize Claude Code for AI coding assistance
- Apply prompt engineering guidelines, strategies, and optimization techniques to improve generative model outputs
- Apply retrieval-augmented generation (RAG) and related techniques—such as context engineering, embedding-based search, and hybrid knowledge reasoning
- Participate in agile development cycles, maintaining thorough technical documentation and experiment traceability
- Use best practices for version control using Git
Skills
- Strong collaboration, communication, and documentation skills
- Proven experience working with large, distributed datasets
- Experience with data exploration, statistical analyses, and visualizations
- Strong statistical foundation with broad knowledge of deterministic and probabilistic statistical methods
- Strong background in supervised/unsupervised machine learning, or natural language processing (NLP)
- Experience with advanced Named Entity Recognition (NER) techniques to extract structured entities from text data
- Demonstrated mastery of prompt engineering methods—prompt engineering, fine-tuning, self-reflection, chain-of-thought reasoning, and declarative prompting
- Experience with Databricks platform
- Strong software development skills
- Experience using Git for version control in a collaborative team environment, including branching, pull requests, and code review
- Bachelor's in Data Science, Computer Science, Biomedical Engineering, or a related quantitative field
- 5+ years of experience developing ML/AI solutions in Python (Pandas, PySpark, scikit-learn, MLflow)
- Experience with using Claude Code for coding assistance
- Hands-on experience developing and orchestrating AI agents or agentic workflows using LLM frameworks
- Classification – decision trees, logistic regression, random forest, SVM, neural networks
- Familiarity with healthcare or life sciences datasets — electronic medical records (EMR), radiology, pathology, or epidemiological data preferred
- Knowledge of veterinary health informatics, disease taxonomy, or ontology-based data integration
- Experience with knowledge graph, semantic web or ontology development techniques
Company Overview
Company H1B Sponsorship