About the role

DevOps/MLOps Engineer

Job Summary:

We are seeking a skilled DevOps/MLOps Engineer with 6+ years of experience to design and implement robust CI/CD pipelines for deploying applications and ML models. Your expertise will significantly impact our ability to deliver high-quality software solutions efficiently and reliably.

Key Responsibilities:

Design and implement CI/CD pipelines for application and ML model deployments to ensure smooth and efficient releases.
Build and manage containerized environments using Docker and Kubernetes for consistent development and production setups.
Automate infrastructure provisioning and deployment workflows to enhance operational efficiency.
Develop and maintain model deployment pipelines for ML and GenAI solutions to support evolving business needs.
Ensure system reliability, scalability, and high availability across various environments through proactive management.
Monitor infrastructure, troubleshoot issues, and optimize performance to meet operational standards.
Collaborate with engineering, ML, and data teams to facilitate seamless releases and enhance cross-functional synergy.
Manage cloud environments while enforcing security best practices to safeguard organizational assets.

Requirements:

6+ years of experience in DevOps or MLOps roles with a deep understanding of CI/CD practices.
Proficiency with containerization technologies, specifically Docker and Kubernetes.
Experience working with automation tools such as Terraform or Ansible for infrastructure management.
Strong background in model deployment pipelines and best practices for ML applications.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of monitoring and logging solutions to maintain infrastructure health and performance.
Familiarity with scripting languages, including Python or Shell, to automate processes.
Understanding of Infrastructure as Code principles and DevOps practices.

Preferred Qualifications:

Experience in deploying and managing GenAI solutions within cloud environments.
Hands-on experience with service mesh and API management solutions.
Understanding of data pipeline architectures and machine learning operations.
Relevant certifications in DevOps or Cloud technologies.

Benefits:

Competitive salary with performance-based bonuses.
Comprehensive health insurance plans for employees and their families.
Flexible working hours and the option for remote work.
Generous paid time off, including vacation and personal days.
Continuous professional development opportunities and training programs.
Inclusive and collaborative company culture that values diversity.
Access to cutting-edge technologies and tools to enhance your skills.

DevOPs/MLops Engineer