Overview

We seek an AI / ML with DevOps capability to build intelligent systems.

Responsibilities

• Design, develop, train, and deploy Machine Learning and AI models for real-world applications.
• Build end-to-end ML pipelines, including data preprocessing, model training, validation, deployment, and monitoring.
• Develop Python-based automation for test suites, model validation, and workflow orchestration.
• Integrate ML pipelines seamlessly into CI/CD pipelines for continuous testing and deployment.
• Ensure a smooth and consistent build environment using CMake and Bazel.
• Collaborate with DevOps teams to enable MLOps best practices, including model versioning and reproducibility.
• Deploy, monitor, and optimize ML workloads in AWS environments.
• Actively contribute to code reviews, documentation, and technical discussions.
• Troubleshoot and resolve build, deployment, and performance issues across environments.
• 6 to 9 years of hands-on experience in AI / Machine Learning development.
• Strong proficiency in Python, especially for automation, ML model development, and testing.
• Extensive hands-on experience in automating test suites and processes using Python.
• Solid experience integrating ML and automation workflows into CI/CD pipelines.
• Hands-on experience with version control systems such as Git, GitLab, and GitHub.
• Strong understanding of DevOps practices, including build, release, and deployment automation.

Qualifications

• Practical experience with CMake and Bazel for managing and maintaining stable build environments.
• Good problem-solving skills with a strong attention to detail.
• Exposure to containerization and orchestration technologies like Docker and Kubernetes.
• Knowledge of REST APIs / microservices for ML model serving.
• Familiarity with monitoring and logging tools in cloud environments.
• Prior experience in agile / scrum development teams.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
• Strong understanding of ML fundamentals, algorithms, and model lifecycle management.
• Excellent communication and collaboration skills.
• Ability to work independently while contributing effectively to cross‑functional teams.

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technologies and tools
• Recognition and rewards for outstanding performance through BeBrilliant
• Chance to work with a renowned German OEM
• You are expected to work all 5 days in a week in office