Data Scientist

Job Requirements

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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.

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.