Machine Learning Engineer - AIOps and GenAI

HARMANs engineers and designers are creative purposeful and agile. As part of this team youll 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 youll 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

Were a global multi-disciplinary team thats 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

Were seeking a skilled Machine Learning Engineer with 3 to 6 years of experience to join our team focusing on AIOps and GenAI projects. Youll 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 weve 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 todays most sought-after performers while our digital transformation solutions serve humanity by addressing the worlds 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 youre ready to innovate and do work that makes a lasting impact join our talent community today!

HARMAN is proud to be an Equal Opportunity / Affirmative 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.