Distinguished Engineer-AI/ML Engineering in Chennai at honor foundations

Date Posted: 9/2/2024

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Chennai
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    9/2/2024

Job Description



When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife. What you’ll be doing...

We are seeking an experienced and highly motivated Distinguished Engineer to lead the architecture and design of our Generative AI practice. In this role, you will spearhead the development and implementation of cutting-edge AI/ML solutions, leveraging your deep expertise to drive innovation and establish industry best practices.

  • Leading the architectural design and implementation of a robust and scalable Generative AI platform, defining the technology roadmap and strategy.

  • Having experience in technical leadership and mentorship to a team of AI/ML engineers, fostering a culture of collaboration and innovation.

  • Designing, developing, and deploying end-to-end AI/ML solutions, including data pipelines, model training, deployment, monitoring, and optimization.

  • Staying abreast of the latest advancements and trends in Generative AI, continuously evaluating and integrating emerging technologies.

  • Collaborating closely with cross-functional teams, including product, engineering, and business stakeholders, to translate business requirements into innovative AI/ML solutions.

  • Championing the adoption of AI/ML best practices, ensuring the development and deployment of secure, reliable, and ethical AI systems.

  • Having experience on Model-serving runtimes Like BentoML or TensorFlow Serving (TFX) or Triton Inference Server

  • Having experience on Model-serving platforms like Cloud-provider platforms (Amazon SageMaker, Vertex AI, Azure Machine Learning) KServe , Ray .

What we’re looking for:

You’ll need to have:

  • Bachelors degree or four or more years of work experience.

  • Six or more years of relevant work experience.

  • Experience in AI/ML engineering, with a strong focus on Generative AI models and techniques (e.g., GANs, VAEs, Diffusion Models).

Even better if you have one or more of the following:

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • Proven track record of architecting, designing, and implementing large-scale AI/ML systems in a production environment.

  • Deep understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.

  • Excellent communication, interpersonal, and presentation skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

  • Experience with MLOps tools and best practices.

  • Contributions to open-source AI/ML projects.

  • Familiarity with telecommunications industry data and use cases.



Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours

40

Diversity and Inclusion

We’re proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.