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3 Weeks ago

Sr Staff Software Engineer

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Calicut, Kerala, India
Information Technology
Full-Time
Blue Yonder

Overview

Responsibilities

  • Technical Excellence:
    • Design, develop, and deploy high-quality, scalable, and maintainable software systems leveraging Generative AI models (e.g., Large Language Models, Diffusion Models, etc.).
    • Conduct thorough research and experimentation with the latest advancements in Generative AI, including model architectures, training techniques, and evaluation methods.
    • Write clean, well-documented, and testable code, adhering to best practices and engineering principles.
    • Actively participate in code reviews and provide constructive feedback to fellow engineers.
    • Mentor junior engineers and foster a culture of learning and growth within the team.
  • Team Leadership & Collaboration:
    • Collaborate effectively with cross-functional teams, including researchers, product managers, and designers.
    • Contribute to the definition of technical roadmaps and architectural decisions.
    • Identify and mitigate technical risks, and propose solutions to complex engineering challenges.
    • Lead and mentor junior engineers, fostering a culture of learning and growth within the team.
    • Actively participate in knowledge sharing and contribute to the broader AI community.
  • Innovation & Problem-Solving:
    • Identify and explore novel applications of Generative AI within our products and services.
    • Conduct research and experimentation with new and emerging AI technologies.
    • Develop innovative solutions to challenging problems, pushing the boundaries of what is possible with Generative AI.
    • Continuously learn and adapt to the rapidly evolving field of Generative AI.
Qualifications

  • Must-Have:
    • 10+ years of professional software engineering experience in Python.
    • Strong understanding of foundational machine learning concepts and algorithms.
    • Deep expertise in one or more areas of Generative AI, such as:
      • Large Language Models (LLMs)
      • Diffusion Models
      • Generative Adversarial Networks (GANs)
      • Variational Autoencoders (VAEs)
    • Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
    • Strong problem-solving and analytical skills.
    • Excellent communication and collaboration skills.
    • Passion for building cutting-edge AI products.
  • Nice-to-Have:
    • Experience with cloud computing platforms (e.g., AWS, GCP, Azure).
    • Experience with MLOps and deploying AI models to production.
    • Experience with building and deploying high-performance distributed systems.
    • Contributions to open-source projects in the AI/ML space.
    • A strong publication record in top-tier AI/ML conferences or journals.
  • Personal Attributes:
    • Strong work ethic and a passion for delivering high-quality results.
    • A proactive and results-oriented approach to problem-solving.
    • A strong desire to learn and grow within a fast-paced environment.
    • Excellent communication and interpersonal skills.
    • A collaborative and team-oriented approach.
Benefits

  • Competitive salary and benefits package.
  • Opportunity to work on cutting-edge AI research and development.
  • Collaborate with world-class researchers and engineers.
  • Impactful work that will shape the future of our products and services.
  • Opportunities for professional growth and development.
  • A supportive and inclusive work environment.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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