Software Engineer - AI/ML with Python

HARMAN India

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

3 days ago
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Benefits offered by this job

On-site work
Competitive salary
Growth opportunities
BeBrilliant recognition
Cutting-edge technologies
Global OEM collaboration

Job summary

HARMAN Automotive in Bengaluru is seeking an AI/ML Engineer with 3–6 years of hands-on experience to build scalable ML solutions and automate end-to-end workflows.

You will design and deploy ML models in AWS, integrate with CI/CD, and collaborate with cross-functional teams to deliver reliable AI infrastructure. Strong Python, DevOps mindset, and CI/CD experience are essential.

Qualifications

  • 3–6 years hands-on AI/ML development.
  • Strong Python proficiency for automation, ML, and testing.
  • Experience automating test suites and workflows in Python.
  • Experience integrating ML/automation into CI/CD pipelines.
  • Hands-on Git/GitLab/GitHub usage.
  • Knowledge of DevOps for build, release, and deployment automation.
  • Experience deploying ML models on AWS.
  • Experience with CMake and Bazel for stable build environments.
  • Good problem-solving and attention to detail.

Responsibilities

  • Design, develop, train, and deploy ML/AI models for real-world applications.
  • Build end-to-end ML pipelines including data prep, training, validation, deployment, and monitoring.
  • Develop Python automation for test suites, model validation, and workflow orchestration.
  • Integrate ML pipelines into CI/CD for continuous testing and deployment.
  • Ensure stable build environments with CMake and Bazel.
  • Collaborate with DevOps for MLOps practices including model versioning.
  • Deploy, monitor, and optimize ML workloads in AWS.
  • Contribute to code reviews, documentation, and technical discussions.
  • Troubleshoot and resolve build, deployment, and performance issues.

Skills

Python automation
ML model development
CI/CD integration
AWS deployment
DevOps practices
Git/GitHub/GitLab
Build systems (CMake, Bazel)
MLOps tooling
Problem solving

Education

Bachelor's or Master's in Computer Science / Data Science / AI

Tools

Docker
Kubernetes
Git
GitLab
GitHub
CMake
Bazel
AWS
MLflow
Kubeflow
Pandas
NumPy

Job description

Introduction: A Career at HARMAN Automotive

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
About The 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.

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
  • 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.
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
  • 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.
What We Offer
  • Work from Office environment with in-person collaboration, with most office‑based roles onsite Five days a week.
  • 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
  • An inclusive and diverse work environment that supports both your professional and personal development.
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, we’ve 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 today’s most sought‑after performers, while our digital transformation solutions serve humanity by addressing the world’s ever‑evolving needs and demands. Marketing our award‑winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. HARMAN attracts, hires, and develops employees based on merit, qualifications and job‑related performance.(www.harman.com)

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