About The Job
A b o u t N o v i n t i X
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.
K e y R e s p o n s i b i l i t i e s
M a c h i n e L e a r n i n g D e v e l o p m e n t
- 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.
D a t a E n g i n e e r i n g & P r o c e s s i n g
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.M o d e l D e p l o y m e n t & M L O p s
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.V i s u a l i z a t i o n & R e p o r t i n g
Build dashboards in Power BI, Tableau, or QlikSense to visualize ML outputs.Communicate insights and model results effectively to technical and non-technical stakeholders.C o l l a b o r a t i o n & R e s e a r c h
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.Qualifications & Skills
Minimum 5+ years in AI / ML Engineering or Data Science, preferably in Healthcare, MedTech, or Manufacturing.Programming : Python, SQL, PySpark, Spark SQLFrameworks : scikit-learn, TensorFlow, PyTorch, KerasData Tools : Databricks, Azure Data Factory, Apache SparkCloud : Azure (preferred), AWS, GCPBI Tools : Power BI, Tableau, QlikSenseMLOps : MLflow, Azure ML, Docker, Git, CI / CDHealthcare Data Standards : HL7, FHIR (advantageous)Skills Required
Pyspark, Tableau, Tensorflow, Pytorch, Docker, Python, Aws, Spark SQL, Power Bi, Apache Spark, Sql, Azure ML, Git, Azure Data Factory, Gcp, Hl7, Databricks, Keras, Azure, Qliksense