トレンド企業

Ciena
Ciena

Telecommunications networking equipment company

Senior/Lead- AI Application Developer

職種機械学習
経験シニア級
勤務地Gurugram
勤務オンサイト
雇用正社員
掲載1週間前
応募する

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.

閲覧数

0

応募クリック

0

Mock Apply

0

スクラップ

0

Cienaについて

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

従業員数

Linthicum Heights

本社所在地

$3.2B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

3.5

報酬

2.8

企業文化

4.1

キャリア

3.2

経営陣

2.9

72%

知人への推奨率

良い点

Flexible hours/schedule

Good benefits/health benefits

Supportive management/colleagues

改善点

Limited career advancement

Low pay/below industry average salary

High workload/long hours

給与レンジ

76件のデータ

Junior/L3

Senior/L5

Staff/L6

Junior/L3 · DATA SCIENTIST

2件のレポート

$128,700

年収総額

基本給

$99,000

ストック

-

ボーナス

-

$128,700

$128,700

面接レビュー

レビュー1件

難易度

3.0

/ 5

期間

14-28週間

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit