Machine Learning Ops

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.

Machine Learning Ops (3 to 6 yrs)

Company: HARMAN Connected Services

Location: Bangalore, India

Experience: 3 to 6 years

Job Type: Full-time

About HARMAN:

HARMAN Connected Services is a global leader in connected car technology, lifestyle audio innovations, design and analytics, cloud services, and IoT solutions. We pride ourselves on our innovative culture, where you can collaborate with talented professionals, drive innovation, and develop cutting-edge solutions.

At HARMAN, youll work on a diverse range of projects spanning automotive, audio, IoT, and cloud services. With offices in over 30 countries, we offer a truly global presence and are committed to your professional growth. Our competitive benefits package includes comprehensive compensation, flexible work arrangements, and recognition programs. Join our dynamic, inclusive, and supportive work environment to shape the future of automotive technology.

Project Overview:

Were seeking an experienced Machine Learning Operations Engineer to bridge the gap between data science and operations teams. The ideal candidate will have a strong background in machine learning, DevOps, and cloud computing.

Key Responsibilities

1. Machine Learning Model Deployment: Deploy, monitor, and maintain machine learning models in production environments.

2. Model Serving: Design and implement model serving architectures using containers (e.g., Docker) and orchestration tools (e.g., Kubernetes).

3. DevOps: Collaborate with data scientists and engineers to implement CI/CD pipelines, automate testing, and ensure reproducibility.

4. Cloud Computing: Manage and optimize machine learning workloads on cloud platforms (e.g., AWS, GCP, Azure).

5. Monitoring and Logging: Implement monitoring and logging solutions to ensure model performance, data quality, and system reliability.

6. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management.

Requirements

Mandatory Technical Skills

1. Machine Learning: Strong understanding of machine learning concepts, including model development, training, and deployment.

2. Programming: Proficiency in languages such as Python, Java, or C++.

3. Cloud Computing: Experience with cloud platforms, including AWS, GCP, or Azure.

4. Containerization: Familiarity with containerization using Docker.

5. Orchestration: Knowledge of orchestration tools, such as Kubernetes.

6. DevOps Tools: Experience with CI/CD tools, such as Jenkins, GitLab CI/CD, or CircleCI.

Soft Skills

1. Communication: Excellent communication and interpersonal skills.

2. Collaboration: Ability to work effectively with cross-functional teams.

3. Problem-Solving: Strong problem-solving skills, with the ability to analyze complex technical issues.

Preferred Skill

1. Experience with ML Frameworks: Familiarity with machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-Learn.

2. Knowledge of Data Engineering: Understanding of data engineering concepts, including data warehousing, ETL, and data pipelines.

3. Certifications: Relevant certifications, such as AWS Certified Machine Learning - Specialty or Google Cloud Certified - Professional Machine Learning Engineer.

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
- Chance to work with a renowned German OEM

Note: Only candidates who meet the mandatory requirements will be considered. Please provide detailed information about your experience and skills in your application.

Are you ready to take your career to the next levelApply now and join our team of passionate developers to shape the future of automotive technology!

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer . 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.