AI ML Engineer

7 days ago

Coimbatore India NovintiX Full time

Job Description 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. DataEngineering & Processing - 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. ModelDeployment & MLOps - 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. Visualization & Reporting - Build dashboards in Power BI, Tableau, or QlikSense to visualize ML outputs. - Communicate insights and model results effectively to technical and non-technical stakeholders. Collaboration & Research - 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 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)

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