Advanced Engineer - AI/ML with Devops(GCP,AWS)

HARMAN International; Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Benefits offered by this job

BeBrilliant recognition program

Offered opportunities for growth

Cutting-edge technologies access

Job summary

HARMAN Automotive is seeking an experienced AI/ML Engineer with DevOps focus to design, develop, and deploy scalable ML models and end-to-end pipelines. You will automate Python-based workflows, integrate ML models into CI/CD, and ensure robust build environments with CMake and Bazel.

AWS cloud experience is essential for deployment and monitoring. Ideal candidates have 6–9 years of hands-on ML/AI development, strong Python skills, and deep knowledge of DevOps practices, version control, and

Qualifications

• 6–9 years of hands-on experience in AI / Machine Learning development.

Responsibilities

• Design, develop, train, and deploy Machine Learning and AI models for real-world applications.

Skills

Python

Machine Learning

DevOps

CI/CD

AWS

Git/GitLab/GitHub

CMake/Bazel

MLOps

Docker/Kubernetes

Automation

Education

Bachelor’s or Master’s in CS/DS/AI

Tools

AWS

Git/GitHub/GitLab

Docker

Kubernetes

MLflow/Kubeflow/SageMaker

CI/CD Tools

Job description

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting‑edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

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 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 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

• 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.

• 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

- 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

HARMAN is proud to be an Equal Opportunity / Affordative Action employer. All qualified applicants will receive consideration for employment without regard torace, 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.