Juniper Networks

Software Engineer - Data Scientist AI/ML

Bengaluru, India
NumPy TensorFlow AWS Spark Kafka Machine Learning Python
Description

At Juniper, we believe the network is the single greatest vehicle for knowledge, understanding, and human advancement the world has ever known.

To achieve real outcomes, we know that experience is the most important requirement for networking teams and the people they serve. Delivering an experience-first, AI-Native Network pivots on the creativity and commitment of our people. It requires a consistent and committed practice, something we call the Juniper Way.

Job Title: Software Engineer IV/Staff - Data Scientist AI/ML

Experience: 5+ Years

Location: Bangalore

The AIOps team’s mission is to use advanced analytics, including AI/ML, to develop end-to-end solutions to automate (detect, remediate) networking workflows for our customers, and help extend AI/ML across the Juniper portfolio. We are looking for an experienced engineer to join our growing data science team of AI/ML and data-at-scale engineers.

Our ideal candidate brings their skills and experience having developed performant inferencing implementations, practiced data science hygiene to develop ML models and is a team player. As a data scientist, you will collaborate with product managers and domain specialists to identify real customer problems, use your background in NLP/ML to develop solutions that scale with terabytes of data.

Qualifications/Requirements:

  • BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc
  • 4+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
  • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
  • Works well in a team setting and is self-driven

Desired Experience:

  • Experience with some/equivalent: AWS, Flink, Spark, Kafka, Elastic Search, Kubeflow
  • Knowledge and experience with NLP technology
  • Networking domain experience and/or demonstrable problem-solving ability
  • Conceptual understanding of system design concepts

Responsibilities:

  • Collaborate with product management and engineering teams to understand company needs, work with domain experts to identify relevant “signals” during feature engineering
  • Take end-to-end responsibility to deliver optimized, generic and performant ML solutions
  • Keep up to date with newest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design

 

ABOUT JUNIPER NETWORKS

Juniper Networks challenges the inherent complexity that comes with networking and security in the multicloud era. We do this with products, solutions and services that transform the way people connect, work and live. We simplify the process of transitioning to a secure and automated multicloud environment to enable secure, AI-driven networks that connect the world. Additional information can be found at Juniper Networks (www.juniper.net) or connect with Juniper on Twitter, LinkedIn and Facebook.

WHERE WILL YOU DO YOUR BEST WORK?

Wherever you are in the world, whether it's downtown Sunnyvale or London, Westford or Bengaluru, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their life's work. At Juniper we believe this is more than a job - it's an opportunity to help change the world.

At Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We’d love to speak with you.

Additional Information for United States jobs:

ELIGIBILITY TO WORK AND E-VERIFY

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Juniper Networks participates in the E-Verify program. E-Verify is an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of new hires and the validity of their Social Security Numbers.

● Information for applicants about E-Verify / E-Verify Información en español: This Company Participates in E-Verify / Este Empleador Participa en E-Verify

● Immigrant and Employee Rights Section (IER) - The Right to Work / El Derecho a Trabajar

E-Verify® is a registered trademark of the U.S. Department of Homeland Security.

Juniper is an Equal Opportunity workplace. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.

Juniper Networks
Juniper Networks
Communication Hardware DevOps Information Technology Infrastructure Security

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