Opportunity brief
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