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Experience: 6+ yrs
Location: pune, Hyderabad, Telangana, India, Bengaluru, Karnataka, India
Job Type: Full time

We are looking for an experienced MLOps / Machine Learning SME to lead the design, development, deployment, and operationalisation of machine learning solutions across the complete ML lifecycle. The role requires strong hands-on expertise in MLOps, Machine Learning, Python, AWS SageMaker, and AWS Bedrock, along with the ability to provide technical leadership and work directly with clients and cross-functional stakeholders.
The ideal candidate will combine deep technical expertise with strong problem-solving and communication skills to build reliable, scalable, and production-ready machine learning platforms and solutions.

Key Responsibilities
• Design and implement end-to-end MLOps pipelines covering model development, training, deployment, monitoring, and lifecycle management.
• Develop and productionise machine learning solutions using Python and modern ML frameworks.




• Build scalable ML workflows and infrastructure using AWS SageMaker.
• Leverage AWS Bedrock to develop, integrate, and operationalise AI and foundation-model-based solutions.
• Deploy machine learning models into scalable and reliable production environments.
• Implement model monitoring, performance tracking, drift detection, alerting, and continuous improvement processes.
• Develop automated workflows for model training, validation, deployment, and retraining.
• Establish best practices for ML experimentation, versioning, reproducibility, governance, and deployment.
• Collaborate with Data Scientists, Data Engineers, Software Engineers, DevOps, Cloud Architects, and Product teams.
• Troubleshoot complex issues across ML pipelines, infrastructure, deployments, and production environments.
• Optimise ML workloads for performance, scalability, reliability, and cost efficiency.
• Evalua

📌 Machine Learning SME (Hyderabad)
🏢 Weekday AI
📍 Hyderabad