MLOps Architect (5-8 yrs)

Job Summary :

We are seeking an experienced MLOps Architect to join our Agile team in building cutting-edge healthcare applications.

You will be responsible for deploying, managing, and monitoring machine learning models in production environments while ensuring adherence to the best development standards.

Key Responsibilities :

- Deploy, manage, and monitor machine learning models in production.

- Collaborate with data scientists and engineers to design, implement, and optimize ML pipelines.

- Design and implement automated testing and validation processes for ML models.

- Develop and maintain infrastructure and tools for ML model training and deployment.

- Continuously improve performance, scalability, and reliability of ML infrastructure.

- Stay updated with the latest developments in ML, cloud computing, and DevOps practices.

Required Skills & Experience :

- Minimum 4 years of experience in machine learning operations or a related field.

- Strong understanding of AWS, GCP, or Azure technologies (EC2, S3, Lambda, Terraform, SageMaker).

- Proficiency in Python, Java, or C++.

- Hands-on experience with SageMaker Domains, Studio Lab, Model Registry, Pipelines, and Monitoring.

- Experience with containerization technologies (Docker, Kubernetes).

- Knowledge of version control systems (Git).

- Strong problem-solving skills and attention to detail.

- Excellent communication and collaboration skills.

- Fluent in written and verbal English