About this role
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