AI ML Engineer

About The Job

AboutNovintiX

NovintiX is a global Engineering and Digital Transformation company serving leading clients across MedTech, Life Sciences, and Healthcare sectors in the US, Ireland, and Europe.

About The Role

We are seeking a highly skilled and experienced AI/ML Engineer to design, build, and deploy data-driven solutions in the healthcare and MedTech domain. The ideal candidate will have expertise in developing and deploying machine learning models, working with large-scale data systems, and implementing AI innovations to solve complex clinical and operational challenges.

KeyResponsibilities

MachineLearningDevelopment

• Design, develop, train, and deploy ML/DL models for clinical and operational use cases.
• Develop predictive analytics solutions (e.g., patient risk scoring, diagnostics, readmission prediction).
• Fine-tune algorithms using frameworks such as scikit-learn, TensorFlow, and PyTorch.
• Apply LLMs, Generative AI, or RAG methods for medical text analysis and documentation automation.
• Work with time series data for forecasting, anomaly detection, and trend analysis.

• Collaborate with data engineers to build scalable data pipelines using Databricks, Azure Data Factory, and SQL Server.
• Process structured and unstructured healthcare datasets; ensure data quality and feature engineering.
• Leverage PySpark, Spark SQL, and SQL for large-scale data processing.

• Deploy models into production using MLflow, Azure ML, or Kubeflow.
• Monitor and retrain models to maintain performance, reliability, and compliance.
• Integrate models into BI tools or clinical applications for real-time insights.

• Build dashboards in Power BI, Tableau, or QlikSense to visualize ML outputs.
• Communicate insights and model results effectively to technical and non-technical stakeholders.

• Work cross-functionally with clinicians, analysts, and engineers to define ML problems.
• Guide and mentor junior team members.
• Research emerging AI/ML methodologies and apply innovations to healthcare data.

• Minimum 5+ years in AI/ML Engineering or Data Science, preferably in Healthcare, MedTech, or Manufacturing.
• Programming: Python, SQL, PySpark, Spark SQL
• Frameworks: scikit-learn, TensorFlow, PyTorch, Keras
• Data Tools: Databricks, Azure Data Factory, Apache Spark
• Cloud: Azure (preferred), AWS, GCP
• BI Tools: Power BI, Tableau, QlikSense
• MLOps: MLflow, Azure ML, Docker, Git, CI/CD
• Healthcare Data Standards: HL7, FHIR (advantageous)