Software Engineer - ML Ops DevOps

Location:

Bangalore - Karnataka, India - Kalyani Platina

Job Family:

Engineering

Worker Type Reference:

Regular - Permanent

Pay Rate Type:

Salary

Career Level:

T3(A)

Job ID:

R-53612-2026

Description & Requirements

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 seeking a highly skilled AI/ML + DevOps / MLOps Engineer to design, deploy, and manage scalable machine learning pipelines and cloud-native infrastructure. The role combines expertise in AI/ML workflows, DevOps practices, and cloud platforms to enable efficient model development, deployment, and lifecycle management in production environments.

What You Will Do

Design and implement end-to-end MLOps pipelines for model development, training, deployment, and monitoring

Build and manage CI/CD pipelines using:

GitLab CI

Jenkins

Argo CD

Deploy and manage ML workloads on cloud platforms:

AWS

Azure

Develop and maintain containerized applications using:

Docker

Kubernetes

Implement infrastructure automation using Terraform (IaC)

Enable scalable and reliable ML model deployment using:

Kubernetes orchestration

Microservices architecture

Monitor ML models in production for:

Performance

Drift

Reliability

Optimize deployment workflows and reduce latency for ML inference

Collaborate with:

Data Scientists

Software Engineers

DevOps teams

to integrate ML models into production systems

Build automated pipelines for:

Data ingestion

Model training & validation

Versioning and deployment

Ensure adherence to best practices in DevOps, security, and cloud governance

What You Need to Be Successful

3–6 years of experience in:

AI/ML Engineering

DevOps / MLOps

Strong hands-on expertise in:

CI/CD tools (GitLab CI, Jenkins, Argo CD)

Cloud platforms (AWS / Azure)

Kubernetes and container orchestration

Experience in Infrastructure as Code (Terraform)

Good understanding of:

Machine Learning lifecycle

Model deployment and monitoring

Data pipelines and automation

Strong programming/scripting skills in:

Python

Solid understanding of:

Microservices architecture

Distributed systems

Experience working in Agile environments

Strong problem-solving and analytical skills

Bonus Points If You Have

Experience with:

ML frameworks (TensorFlow, PyTorch, Scikit-learn)

MLOps tools (MLflow, Kubeflow, SageMaker)

Knowledge of:

Data engineering pipelines

Streaming platforms (Kafka)

Experience with:

Monitoring tools (Prometheus, Grafana)

Logging systems

Exposure to automotive or embedded AI environments

What Makes You Eligible

Bachelor’s / Master’s degree in:

Computer Science

Data Science

Electronics / IT

Proven experience in:

Cloud-native ML deployments

CI/CD pipeline automation

DevOps + AI/ML integration

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

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.

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Important Notice: Recruitment Scams

Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', ‘@careers.harman.com’ or ‘@harmanglobal.avature.net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com.

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.

HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at harmancareers@harman.com. Requests will be considered on a case-by-case basis in accordance with applicable law.