Software Engineer - ML Ops DevOps

HARMAN India; Bengaluru; On-site; INR 1,000,000 - 2,500,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunities for professional growth

Access to cutting-edge technologies

Job summary

HARMAN India is looking for a talented AI/ML + DevOps / MLOps Engineer in Bengaluru. The candidate will design, deploy, and manage scalable machine learning pipelines and cloud-native infrastructure.

With a focus on building and managing CI/CD pipelines and deploying ML workloads on cloud platforms like AWS and Azure, this role offers a chance to work with cutting-edge technologies. Join a dynamic team and enjoy competitive benefits and opportunities for growth.

Qualifications

• 3–6 years of experience in AI/ML Engineering and DevOps / MLOps.
• Strong hands-on expertise in CI/CD tools and cloud platforms.
• Experience in Infrastructure as Code using Terraform.

Responsibilities

• Design and implement end‑to‑end MLOps pipelines.
• Build and manage CI/CD pipelines using GitLab CI and Jenkins.
• Deploy and manage ML workloads on AWS and Azure.

Skills

AI/ML Engineering

DevOps / MLOps

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

Cloud platforms (AWS / Azure)

Kubernetes and container orchestration

Python

Microservices architecture

Agile methodologies

Education

Bachelor’s / Master’s degree in Computer Science

Bachelor’s / Master’s degree in Data Science

Bachelor’s / Master’s degree in Electronics / IT

Tools

Terraform

Monitoring tools (Prometheus, Grafana)

Logging systems

ML frameworks (TensorFlow, PyTorch, Scikit‑learn)

MLOps tools (MLflow, Kubeflow, SageMaker)

Job description

Introduction

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.

Responsibilities

• 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

Qualifications

• 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

• 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

Eligibility

• 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

Benefits

• 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

Equal Employment Opportunity Statement

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.