Lead AI/ML model development and production deployment for large-scale analytics supporting an Oil & Gas enterprise. Own multiple use cases, design and train models using AWS SageMaker, monitor performance and accuracy, extract insights from large datasets, and support advanced analytics initiatives. The role requires strong Python and SageMaker expertise, five or more years of AI/ML experience, and on-site work in Mumbai.
About CloudThat:
At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have.
About the Role: Lead AI/ML model development and deployment for a large-scale analytics platform supporting a major Oil & Gas enterprise, using AWS SageMaker.
Key Technologies:
• Python, Scikit-learn, TensorFlow/PyTorch
• AWS SageMaker (training, deployment, monitoring)
• Pandas, NumPy, Statistical libraries
• Jupyter, MLOps practices
What You'll Do:
• Own multiple AI/ML use cases
• Design, train & deploy ML models on SageMaker
• Monitor model performance and accuracy
• Extract insights from large-scale data
• Support advanced analytics use cases
Requirements:
• 5+ years in AI/ML with deployment experience
• Strong SageMaker and Python expertise
• Proven model development to production track record
• Mumbai based (on-site)
Nice to Have: Experience in Oil & Gas domain / demand forecasting / supply chain analytics
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