AI/ML & DevOps Developer

Role Overview

We are seeking a skilled and passionate AI/ML & DevOps Developer to join our dynamic technology team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable AI/ML pipelines and DevOps infrastructure that power our core products and services. You will be responsible for automating deployment workflows, optimizing cloud-based systems for performance and cost efficiency, and integrating machine learning models into production environments.

Key Responsibilities

• Design and implement CI/CD pipelines to streamline the deployment of AI/ML models and application code
• Manage and scale cloud infrastructure to support high-throughput AI workloads and user traffic
• Monitor production AI systems to identify performance bottlenecks, troubleshoot issues, and implement fixes
• Collaborate with data scientists and ML engineers to optimize model inference performance and reduce latency
• Develop automation scripts and tools to reduce manual operational overhead and improve team efficiency

• 1–2 years of professional experience working at the intersection of AI/ML engineering and DevOps practices
• Proficiency in at least one major cloud platform (AWS, Microsoft Azure, or Google Cloud Platform)
• Hands-on experience with containerization tools (Docker, Kubernetes) and infrastructure-as-code frameworks (Terraform, CloudFormation)
• Strong understanding of machine learning model deployment, monitoring, and lifecycle management in production environments
• Proficiency in at least one scripting language (Python, Bash, or Go) and experience with version control systems like Git
• Strong problem-solving skills and ability to work effectively in a collaborative, cross-functional team environment
• Demonstrated passion for continuous learning and staying up to date with the latest advancements in AI, cloud computing, and DevOps methodologies