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AI ML Engineer

AI ML Engineer

ConfidentialCoimbatore, India
9 days ago
Job description

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 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)
  • 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

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