Associate Software Engineer

• Design, implement, and maintain the infrastructure and systems necessary for efficient MLOps including model deployment / monitoring / orchestration.
• Develop and manage CI/CD pipelines for ML usecases to ensure efficient and automated model deployment.
• Collaborate with data scientists and engineers to build robust ML pipelines that can handle large datasets and traffic.
• Implement robust monitoring and alerting systems to track model performance, data drift, and system health.
• Maintain security adherence and compliance standards, including data privacy and model explainability.
• Ensure clear and comprehensive documentation of MLOps processes, infrastructure, along with configurations.
• Work closely with crossfunctional teams, including data scientists, software engineers, and DevOps, to ensure smooth model deployment and operations.

• 2-4years of strong experience in building & packaging enterprise applications into Docker containers.
• Strong experience in Big Data, CI/CD tools (e.g Git/GitHub, TeamCity, Artifactory, Octopus, Jenkins)
• Experience in automating repetitive tasks using Ansible, Terraform; AWS (EKS/ECS, CloudFormation) and Kubernetes.
• Identify and drive opportunities for continuous improvement within the team and in delivery of products.
• Help promoting good coding standards and practices to ensure high quality.

Good to have:

• Experience in Python, Shell Scripting with basic understanding of database concepts, SQL.
• Domain experience in finance, banking, Insurance.