AI/ML Developer

Job Title: AI/ML Developer – Healthcare Domain

Location:- Mason, OH and LA

12+ Months

Job Summary

We are seeking a highly skilled AI/ML Developer with strong Healthcare domain experience to design, develop, and deploy scalable machine learning and AI-driven solutions. The ideal candidate will have expertise in healthcare data processing, predictive analytics, NLP, model development, and cloud-based AI platforms. This role involves collaborating with data engineers, clinicians, product teams, and business stakeholders to build intelligent healthcare applications that improve operational efficiency, patient outcomes, and decision-making.

Key Responsibilities

• Design, develop, and deploy AI/ML models for healthcare applications including predictive analytics, clinical decision support, patient risk scoring, and automation workflows.
• Build and optimize machine learning pipelines using structured and unstructured healthcare datasets.
• Work with healthcare data standards such as HL7, FHIR, ICD-10, CPT, and EHR/EMR systems.
• Develop NLP solutions for clinical notes, patient records, and medical documentation processing.
• Collaborate with cross-functional teams to gather requirements and translate business needs into AI/ML solutions.
• Perform data preprocessing, feature engineering, model training, validation, and performance tuning.
• Implement scalable AI solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Develop APIs and integrate ML models into enterprise healthcare applications.
• Monitor model performance, drift detection, and continuous improvement processes.
• Ensure compliance with HIPAA, healthcare data privacy, and security standards.
• Participate in Agile/Scrum ceremonies including sprint planning, backlog grooming, and retrospectives.
• Create technical documentation, model explainability reports, and deployment guidelines.

Required Skills & Qualifications

• 5+ years of experience in AI/ML development and data science projects.
• Strong experience in Healthcare domain projects.
• Hands-on expertise in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, or XGBoost.
• Experience working with healthcare datasets, EHR/EMR systems, and healthcare interoperability standards.
• Strong knowledge of machine learning algorithms, deep learning, NLP, and predictive analytics.
• Experience with SQL, data modeling, and ETL pipelines.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with MLOps tools and CI/CD pipelines for ML deployment.
• Strong understanding of data privacy, HIPAA compliance, and healthcare security practices.
• Familiarity with REST APIs, Docker, Kubernetes, and microservices architecture.
• Experience with data visualization and reporting tools such as Tableau or Power BI is a plus.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with Generative AI / LLM applications in healthcare.
• Familiarity with healthcare claims, payer/provider systems, or clinical analytics.
• Experience with AWS SageMaker, Databricks, or Snowflake.
• Knowledge of AI governance and model explainability frameworks.
• Exposure to FHIR APIs and healthcare interoperability solutions.
• Certifications in AI/ML, Cloud, or Healthcare Analytics preferred.

Technical Skills

• Python  
• TensorFlow / PyTorch
• Scikit-learn  
• NLP / Deep Learning
• SQL  
• AWS / Azure / Google Cloud Platform
• Docker / Kubernetes
• REST APIs
• MLOps  
• Databricks / Snowflake
• Tableau / Power BI
• HL7 / FHIR
• HIPAA Compliance