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2 Days ago

Machine Learning Engineer - AIOps and GenAI

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Hyderabad, Telangana, India
Space Exploration & Research, Information Technology
Full-Time
Harman International

Overview

Location:
Bangalore - Karnataka, India - EOIZ Industrial Area
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
Career Level:
T3(A)
Job ID:
R-46582-2025

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're seeking a skilled Machine Learning Engineer with 3 to 6 years of experience to join our team, focusing on AIOps and GenAI projects. You'll play a pivotal role in developing cutting-edge solutions that leverage machine learning to enhance automation and intelligence across our systems.

What You Will Do

1. Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms for AIOps initiatives.

2. Collaboration: Collaborate with cross-functional teams to gather requirements and understand business objectives.

3. Research and Experimentation: Research and experiment with new ML techniques, frameworks, and tools to improve system efficiency and performance.

4. GenAI Project Contribution: Contribute to the user by developing algorithms and frameworks that enable generalized AI capabilities within our products.

5. ML Pipeline Architecture: Architect scalable and reliable ML pipelines that handle large volumes of data, ensuring robustness and accuracy.

What You Need to Be Successful

1. Technical Skills:

  • Proven experience in developing and deploying machine learning models in a production environment.
  • Strong proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow, PyTorch, or scikit-learn.
  • Solid understanding of statistical analysis, data structures, and algorithms.

2. Cloud and Automation Experience:

  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and serverless technologies (e.g., Lambda, Azure functions, cloud functions).
  • Knowledge of automation tools and techniques, and experience integrating ML models into automated workflows.

3. Problem-Solving and Communication Skills:

  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
  • Strong communication skills to effectively convey technical concepts and solutions to stakeholders.

Bonus Points if You Have

1. Certification in Machine Learning and AI: Certification in machine learning and AI can be an added advantage.

2. Experience with Large-Scale ML Deployments: Experience with large-scale ML deployments and managing complex data pipelines.

3. Familiarity with DevOps Practices: Familiarity with DevOps practices and tools, such as CI/CD pipelines and version control systems.

What Makes You Eligible

1. Relevant Experience: 3 to 6 years of experience in developing and deploying machine learning models in a production environment.

2. Technical Expertise: Strong technical skills in machine learning, programming languages, and cloud platforms.

3. Problem-Solving Abilities: Ability to analyze complex problems and develop effective solutions.

4. Collaboration and Communication Skills: Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively.

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

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.

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' 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 '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com.


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.
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