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Ciena
Ciena

Telecommunications networking equipment company

Senior/Lead- AI Application Developer

직무머신러닝
경력시니어급
위치Gurugram
근무오피스 출근
고용정규직
게시1주 전
지원하기

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

How You Will Contribute:

You will report to R&D team and play a key role in designing and developing AI-enabled applications for Ciena’s Navigator Network Control Suite. Your work will directly contribute to enhancing network performance, automation, and operational efficiency through cutting-edge AI/ML solutions.

In this role, you will:

  • Design, develop, and deliver AI applications using Generative AI,LLMs,Classical ML, and Agentic AI techniques.
  • Collaborate with cross-functional teams to integrate AIOps capabilities into Ciena's Navigator platform.
  • Analyze large datasets to uncover actionable insights and support data-driven decisions.
  • Fine-tune and train AI models tailored to Ciena’s product and network application needs.
  • Participate in code reviews, testing, and deployment to ensure high-quality, scalable software.
  • Research the latest AI technologies and help define best practices for solution development and deployment.

The Must Haves:

  • Bachelor’s degree in Artificial Intelligence,Computer Science,Engineering, or a related field.
  • 5+ years of experience in developing AI software, particularly for AIOps or Data Science use cases.
  • Hands-on experience with LLMs,transformers,agentic frameworks, and RAG (Retrieval-Augmented Generation) techniques.
  • Strong programming skills in Python,Java, or C++.
  • Experience with machine learning frameworks like Tensor Flow or Py Torch.
  • Familiarity with cloud platforms(e.g., AWS, Azure) and containerization tools such as Docker and Kubernetes.
  • Proven experience building microservice-based software systems.
  • Strong grasp of network management protocols and principles.
  • Effective communicator with the ability to work independently and collaboratively.

Assets:

  • Experience with Ciena network management solutions.
  • Understanding of AIOps tools and practices.
  • A Master’s or advanced degree in a related field.
  • Passion for innovation, continuous learning, and solving complex problems.

At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.

Ciena is an Equal Opportunity Employer, including disability and protected veteran status.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

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Ciena 소개

Ciena

Ciena

Series C

Ciena Corporation is an American optical networking systems and software company based in Hanover, Maryland. The company has been described as a vital player in optical connectivity. The company reported revenues of $4.8 billion and more than 9,000 employees, as of November 2025.

5,001-10,000

직원 수

Linthicum Heights

본사 위치

$3.2B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.5

보상

2.8

문화

4.1

커리어

3.2

경영진

2.9

72%

지인 추천률

장점

Flexible hours/schedule

Good benefits/health benefits

Supportive management/colleagues

단점

Limited career advancement

Low pay/below industry average salary

High workload/long hours

연봉 정보

76개 데이터

Junior/L3

Senior/L5

Staff/L6

Junior/L3 · DATA SCIENTIST

2개 리포트

$128,700

총 연봉

기본급

$99,000

주식

-

보너스

-

$128,700

$128,700

면접 후기

후기 1개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit