Systems Architect (DevOps & MLOPs)

Office in Chennai

Data DevOps

We are seeking a seasoned Systems Architect with significant expertise in DevOps and MLOps operational methodologies to join our team.

The candidate will be central to optimizing our development cycles, enhancing our software and AI/ML operations, and leading the transformation of our systems architecture to maximize efficiency and reliability within the organization. This role involves direct hands-on experience in building, automating, and maintaining our AI/ML workflows, along with a strong foundation in cloud infrastructure and continuous integration and delivery systems.

Responsibilities

Shorten development cycles for software and AI/ML systems
Maintain tools and infrastructure for efficient AI/ML development
Automate the AI/ML workflow from data analysis and operationalization to training and visualization
Build and oversee data pipelines for analytics, model evaluation, and training
Train and re-train systems as needed
Enhance and support the automated CI/CD pipeline
Increase deployment velocity for models and data pipelines
Construct and manage scalable infrastructure as code (IaC) in the cloud
Collaborate with the engineering team for seamless development and maintenance of products
Promote continuous learning and best practices within the team
Undertake significant responsibilities from day one to directly influence our CI/CD+ infrastructure

Requirements

10+ years of strong experience in MLOps
Solid experience in designing DevOps pipelines suitable for various developmental stages
Experience in providing solutions for production issues on ML models and in handling monitoring/alerting systems
Competency in selecting datasets and conducting statistical analysis from ML tests
Proficiency in Python, Java, or similar programming languages
Skills in shell scripting and Unix OS
Solid understanding of software engineering good practices, particularly in DevOps
Strong experience with cloud infrastructure on platforms such as GCP, AWS, or Azure. GCP preferred
Familiarity with Apache Airflow, DVC, MLFlow, or similar tools
Excellent problem-solving, debugging, and interpersonal skills
Qualifications ideally include a certification in Cloud DevOps, Architecture, or Engineering from top cloud platforms (AWS, Azure, GCP)
Computer Science graduate (BTech/BE or higher)

Nice to have

Familiarity with data science and ML concepts