About the Role

We are seeking a highly skilled candidate to lead the design, deployment, and management of enterprise-scale Machine Learning platforms and solutions on AWS. The ideal candidate will possess strong expertise in end-to-end MLOps, Machine Learning, and Python, with hands-on experience in AWS Bedrock and AWS SageMaker. This individual will serve as a Subject Matter Expert (SME), working closely with clients, data scientists, and engineering teams to operationalize AI/ML models in production environments.

Key Responsibilities

- Design, build, and maintain end-to-end MLOps pipelines for ML model training, deployment, monitoring, and retraining.
- Develop scalable Machine Learning solutions using AWS cloud services.
- Implement and manage ML lifecycle workflows using AWS SageMaker and AWS Bedrock.
- Automate model deployment, testing, monitoring, and governance processes.
- Collaborate with Data Science, Data Engineering, and Cloud teams to deliver AI/ML solutions.
- Provide technical leadership and act as the MLOps SME for client engagements.
- Participate in architecture discussions, solution design, and technical consulting activities.
- Ensure high availability, security, scalability,



and performance of ML platforms.
- Engage directly with clients to understand business requirements and provide technical guidance.

Mandatory Skills

- 6-10 years of overall IT experience.
- Strong expertise in End-to-End MLOps.
- Hands-on experience in Machine Learning model development and deployment.
- Advanced proficiency in Python.
- Mandatory experience with:
- AWS Bedrock
- AWS SageMaker

- Experience with CI/CD, model versioning, monitoring, and automation frameworks.
- Strong communication and stakeholder management skills.
- Proven experience working in client-facing roles.
- Ability to work independently and drive technical decisions as an SME.

Good-to-Have Skills

- Kubernetes
- Terraform
- Data Engineering concepts and pipelines
- Containerization and orchestration technologies
- Infrastructure as Code (IaC)

Preferred Qualifications

- Experience building Generative AI and LLM-based applications using AWS services.
- Solid understanding of cloud architecture, DevOps, and MLOps best practices.
- Experience in productionizing AI/ML solutions at scale.

📌 LEAD DATA ENGINEER - Machine Learning (Bengaluru)
🏢 Happiest Minds
📍 Bengaluru