NovintiX
Website:
novintix.com
Job details:
Company Description
NovintiX is a leading provider of innovative engineering services, committed to delivering transformative solutions across industries such as Medical Devices, Life Sciences & Healthcare, Aerospace & Defense, Automotive, Consumer Electronics, and Industrial & Heavy Equipment.
With a strong focus on excellence and innovation, NovintiX delivers products and services aligned with evolving technologies and future-ready strategies. Our core expertise includes Product Engineering, Supply Chain & Manufacturing, Quality, Clinical Affairs, and Digital Solutions.
At NovintiX, we foster a culture of growth, continuous learning, and innovation for both our clients and employees.
About the Role
We are looking for a highly skilled and experienced AI/ML Engineer to design, develop, and deploy data-driven solutions within the Healthcare and MedTech domain.
The ideal candidate will have strong expertise in building machine learning models, handling large-scale data systems, and leveraging AI technologies to address complex clinical and operational challenges.
Key Responsibilities
Machine Learning Development
- Design, develop, train, and deploy ML/DL models for clinical and operational use cases
- Build predictive analytics solutions (e.g., patient risk scoring, diagnostics, readmission prediction)
- Fine-tune models using frameworks such as scikit-learn, TensorFlow, and PyTorch
- Implement LLMs, Generative AI, or RAG-based solutions for medical text analysis and automation
- Work with time-series data for forecasting, anomaly detection, and trend analysis
Data Engineering & Processing
- Collaborate with data engineers to build scalable pipelines using Databricks, Azure Data Factory, and SQL Server
- Process structured and unstructured healthcare datasets with a focus on data quality and feature engineering
- Utilize PySpark, Spark SQL, and SQL for large-scale data processing
Model Deployment & MLOps
- Deploy models into production using MLflow, Azure ML, or Kubeflow
- Monitor, evaluate, and retrain models to ensure performance and reliability
- Integrate ML models into BI tools or clinical applications for real-time insights
Visualization & Reporting
- Develop dashboards using Power BI, Tableau, or QlikSense
- Present insights and model outputs clearly to both technical and non-technical stakeholders
Collaboration & Research
- Work closely with clinicians, analysts, and engineering teams to define ML problems
- Mentor and guide junior team members
- Stay updated with emerging AI/ML trends and apply them to healthcare use cases
Qualifications & Skills
- Minimum 5+ years of experience in AI/ML Engineering or Data Science (Healthcare, MedTech, or Manufacturing domain preferred)
Technical Skills
- Programming: Python, SQL, PySpark, Spark SQL
- Frameworks: scikit-learn, TensorFlow, PyTorch, Keras
- Data Tools: Databricks, Azure Data Factory, Apache Spark
- Cloud Platforms: Azure (preferred), AWS, GCP
- BI Tools: Power BI, Tableau, QlikSense
- MLOps: MLflow, Azure ML, Docker, Git, CI/CD
Domain Knowledge (Good to Have)
- Healthcare data standards such as HL7 and FHIR
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