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Key skills for this role
We are looking for a highly motivated AI / ML Engineer with 3 to 6 years of experience, who is passionate about building intelligent systems and automating end-to-end ML workflows. The ideal candidate will have a strong foundation in Machine Learning, Python automation, DevOps practices, and cloud-based deployments, working closely with cross‑functional teams to deliver scalable, reliable AI solutions.
We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
Engineer audio systems and integrated technology platforms that augment the driving experience
Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
Advance in-vehicle infotainment, safety, efficiency, and enjoyment
We are looking for a highly motivated AI / ML Engineer with 3 to 6 years of experience, who is passionate about building intelligent systems and automating end-to-end ML workflows. The ideal candidate will have a strong foundation in Machine Learning, Python automation, DevOps practices, and cloud-based deployments, working closely with cross‑functional teams to deliver scalable, reliable AI solutions.
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3 to 6 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.
Experience working with AWS cloud services for ML model deployment and infrastructure.
Practical experience with CMake and Bazel for managing and maintaining stable build environments.
Good problem-solving skills with a strong attention to detail.
Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Airflow, etc.).
Exposure to containerization and orchestration technologies like Docker and Kubernetes.
Experience with data processing frameworks (Pandas, NumPy, Spark, etc.).
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.
Verified company details for this employer are not available yet.
Full-time
Mid · 3+ years experience
Onsite
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