Data Scientist
This role focuses on designing and deploying generative AI and machine learning solutions on Microsoft Azure for enterprise use cases. Candidates will build scalable Python/PySpark applications, integrate them into microservices, and implement MLOps practices for model lifecycle management.
Skills required
About this role
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We are looking for a Data Scientist with strong expertise in Generative AI, Machine Learning, and cloud-based AI solutions on Microsoft Azure.
Key Responsibilities:
- Design, develop, and deploy Generative AI and machine learning solutions for enterprise use cases.
- Build scalable AI/ML applications using Python and PySpark.
- Develop and integrate AI solutions within Microservices-based architectures.
- Implement MLOps practices for model training, deployment, monitoring, versioning, and lifecycle management.
- Leverage Microsoft Azure services to build scalable, secure, and production-ready AI/ML solutions.
- Collaborate with data engineering, application, and cloud teams to operationalize models.
- Optimize model performance, scalability, reliability, and cost.
Required Skills:
Generative AI, Machine Learning, Python, PySpark, MLOps, Microsoft Azure, Microservices, model deployment, and data processing.
Experience: 5+ years in Data Science/ML, with hands-on experience delivering production AI solutions.
Work Experience
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }
We are looking for a Data Scientist with strong expertise in Generative AI, Machine Learning, and cloud-based AI solutions on Microsoft Azure.
Key Responsibilities:
- Design, develop, and deploy Generative AI and machine learning solutions for enterprise use cases.
- Build scalable AI/ML applications using Python and PySpark.
- Develop and integrate AI solutions within Microservices-based architectures.
- Implement MLOps practices for model training, deployment, monitoring, versioning, and lifecycle management.
- Leverage Microsoft Azure services to build scalable, secure, and production-ready AI/ML solutions.
- Collaborate with data engineering, application, and cloud teams to operationalize models.
- Optimize model performance, scalability, reliability, and cost.
Required Skills:
Generative AI, Machine Learning, Python, PySpark, MLOps, Microsoft Azure, Microservices, model deployment, and data processing.
Experience: 5+ years in Data Science/ML, with hands-on experience delivering production AI solutions.
