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NovintiX
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AI ML Engineer

AI ML Engineer

NovintiX

5 years

0 Lacs

coimbatore tamil nadu india

Posted:2 days ago| Platform:

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Skills Required

ai ml engineering healthcare design data learning analytics risk scoring diagnostics algorithms tensorflow analysis documentation forecasting databricks azure sql pyspark spark mlflow reliability power tableau visualize model research programming python pytorch apache aws docker git

Work Mode

On-site

Job Type

Full Time

Job Description

About The Job

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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.

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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.

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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.

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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.

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

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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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AI ML Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About The Job

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About The Role

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