Gen AI Engineer

IN Bengaluru Manyata Embassy BSNS Park HCS

Applications have closed

HARMAN International

HARMAN International is a global leader in connected car technology, lifestyle audio innovations, design and analytics, cloud services and IoT solutions.

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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.

  • Bachelor's degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or a related field.
  • 2+ years of experience working with machine learning and deep learning models.
  • Strong understanding of generative AI architectures and techniques.
  • Proficiency in programming languages like Python, PyTorch, TensorFlow, or similar frameworks.
  • Experience with data manipulation libraries and data analysis tools.
  • Excellent problem-solving, analytical, and creative thinking skills.
  • Strong communication, collaboration, and teamwork abilities.
  • Passion for learning and adapting to a rapidly evolving field.
  • Commitment to ethical and responsible AI development practices

Responsibilities

  • Implement and optimize GenAI models: Build and customize GenAI models for specific business needs, ranging from content generation and data augmentation to predictive analytics and creative automation.
  • Prepare and pre-process data: Collaborate with data scientists and engineers to understand data requirements, prepare and clean datasets, and ensure optimal model performance.
  • Train and fine-tune GenAI models: Design and execute training strategies, experiment with hyperparameters, and optimize models for accuracy, efficiency, and fairness.
  • Develop and integrate GenAI pipelines: Build and maintain the infrastructure and pipelines necessary for model training, deployment, and monitoring within production environments.
  • Evaluate and analyze GenAI results: Assess model performance through metrics and qualitative analysis, identify opportunities for improvement, and implement solutions.
  • Stay informed about GenAI advancements: Actively track the latest research, explore emerging techniques, and share valuable insights with your team.
  • Collaborate effectively: Work closely with engineers, data scientists, researchers, and domain experts to translate business needs into technical solutions and ensure successful project delivery.
  • Document and communicate technical details: Clearly and concisely document work, present findings to diverse audiences, and foster understanding of GenAI concepts within the organization.

    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.

    * Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

    Tags: Agile Architecture Computer Science Data analysis Deep Learning Generative AI Machine Learning Mathematics Model training Physics Pipelines Python PyTorch Research Responsible AI TensorFlow

    Perks/benefits: Career development

    Region: Asia/Pacific
    Country: India
    Job stats:  22  7  0

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