Systems Architect (DevOps & MLOPs)
Office in Chennai
Data DevOps
& others
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