Data Scientist Azure ML MLOps (Bengaluru)

Data Scientist Azure ML MLOps (Bengaluru)

12 Oct
|
Intellistaff
|
Bengaluru

12 Oct

Intellistaff

Bengaluru

Job Title: Data Scientist Azure ML / MLOps

Experience: 5–8 Years

Location: Hyderabad / Pune / Noida

Employment Type: Full-Time

We are looking for an experienced Data Scientist with strong hands-on expertise in Machine Learning, Python, Azure Machine Learning and MLOps. The candidate will be responsible for developing, deploying, monitoring and maintaining machine learning models in production environments.

Key Responsibilities

- Develop, train, evaluate and optimize machine learning and statistical models using Python.
- Build and deploy ML models using Azure Machine Learning Studio and related Azure services.
- Develop automated ML pipelines for model training, deployment, testing and monitoring.
- Implement MLOps practices, including model versioning, experiment tracking and CI/CD automation.
- Monitor model performance, identify data/model drift and implement retraining strategies.
- Collaborate with data engineering and business teams to prepare datasets, engineer features and deliver scalable ML solutions.
- Optimize model performance, reliability and deployment efficiency in production environments.

Mandatory Skills





- Python programming and machine learning.
- Hands-on experience with Azure Machine Learning / Azure ML Studio.
- Solid understanding of model development, evaluation and deployment.
- Experience implementing MLOps pipelines and CI/CD for machine learning.
- Model monitoring, performance evaluation and retraining concepts.
- Experience with MLflow or similar tools for experiment tracking and model management.

Good-to-Have Skills

- Azure Data Factory, Azure Databricks and Azure Data Lake Storage.
- Docker and Kubernetes.
- Automated model retraining and model-drift detection.
- Experience with NLP, deep learning or Generative AI.
- Experience working with large datasets and production ML systems.

Candidate Profile Candidates should have strong hands-on experience in both machine learning and production deployment. Preference will be given to candidates who have implemented end-to-end ML solutions using Azure ML and established MLOps practices.

📌 Data Scientist Azure ML MLOps (Bengaluru)
🏢 Intellistaff
📍 Bengaluru

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