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Introduction: A Career at HARMAN Automotive Were a global, multi-disciplinary team thats 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 About The Role We are looking for a highly motivated AI / ML with Devops (GCP,AWS) with 6 to 9 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 crossfunctional teams to deliver scalable, reliable AI solutions. What You Will Do - 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. What You Need To Be Successful - 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. - 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. - Positive problem-solving skills with a strong attention to detail. Bonus Points If You Have - 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. What Makes You Eligible - Bachelors or Masters 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 crossfunctional teams. What We Offer - Competitive salary and benefits package - Opportunities for professional growth and development - Collaborative and agile 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 You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, weve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature todays most sought-after performers, while our .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.