• Remote AI Engineer

    Insight Global (Hartford, CT)


    Job Description

    • Design and implement machine learning models for healthcare applications to enhance patient care, optimize clinical workflows and improve operational efficiency.

    • Collaborate with clinicians, data scientists, and software engineers to translate clinical needs into AI solutions.

    • Work with structured and unstructured healthcare data, including Electronic health records and clinical charts.

    • Ensure models comply with regulatory and ethical standards (e.g., HIPAA, FDA) and are interpretable.

    • Develop data preprocessing, feature extraction, and model deployment pipelines in cloud or on-prem environments.

    • Monitor and retrain models in production to maintain accuracy and fairness.

    • Conduct data preprocessing, feature engineering, and model evaluation using best practices.

    • Stay updated on AI/ML research and trends to enhance existing systems.

    • Contribute to the development of internal tools and frameworks to accelerate AI development.

    • Design, build, and deploy scalable machine learning models for classification, regression, recommendation, and NLP

     

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

    Skills and Requirements

    • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

    • 3+ years of AI/ML development experience, preferably in healthcare.

    • Proficiency in Python, SQL, No-SQL databases, microservices architecture, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

    • Experience with cloud platforms (GCP) and CI/CD, MLOps tools.

    • Experience with LLMs - Gemini LLM, or equivalent for training, deploying, and fine-tuning models, Agentic AI, LangGraph, LangChain, Kubeflow.

    • Retrieval-Augmented Generation (RAG): Combining Gen AI with vector databases (e.g., Google’s Vertex AI Search, Pinecone, or Weaviate).

    • Knowledge of clinical workflows and healthcare IT systems (e.g., Epic, Athena).

    • Familiarity with healthcare data standards (e.g., HL7, FHIR).

    • Understanding of healthcare privacy and compliance requirements (HIPAA).