Data Science

2 weeks ago

Bengaluru, Karnataka, India Equinix Full time

Who are we?
Equinix is the world's digital infrastructure company, operating over 250 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed.

Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.


A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions.

We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

Data Science - Staff


Equinix is the world's digital infrastructure company, operating 250+ data centers across the globe and providing interconnections to all the key clouds and networks.

Businesses need one place to simplify and bring together a fragmented, complex infrastructure that spans private and public cloud environments.

Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

We are a fast-growing global company with 20 years of consecutive quarterly growth*.

Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,100 networks and 3,000+ cloud and IT service providers in 32 countries spanning six continents.


A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions.

We embrace diversity in thought and contribution and are committed to providing an equitable work environment. That is foundational to our core values as a company and is vital to our success.

Job Summary
Equinix operates International Business Exchange where the information-driven world lives and thrives. Equinix Data Centers provide a platform where many of the world's best brands are launching their next breakthrough innovations.

As a Full stack Data Scientist, you will be responsible to build, and optimizing our AI/ML systems.

You will evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and improve the accuracy of our AI software's capabilities.


Key Responsibilities

  • Research and implement appropriate AI algorithms and tools
  • Envision, implement, and deliver productionlevel Classical Machine Learning models(Regression, Classification, and clustering), NLP models (Sentiment, Summarization, Chatbot/QA, Info Retrieval), Computer Vision(Image Classification, Object Detection, Semantic Segmentation and Instance Segmentation using Yolo V7, DDRNet, RFTM using pretrained datasets(Coco, Cityscapes)
  • Deploy ML models into production using cuttingedge deployment strategies, conduct A/B tests to objectively measure improvements
  • Keep innovating and optimizing the machine learning workflow, from data exploration, and model experimentation/prototyping to production
  • Building Features, running tests, performing statistical analysis, and interpreting test results
  • Proficient in any of the deep learning frameworks such as PyTorch, TensorFlow, Keras

Qualifications

  • 1+ years with Ph.
D. OR 2+ Years with a Master's OR 4+ Years with Bachelor's in Data Science, Computer Science, or Machine Learning

  • Experience coding in Python (needed)
  • Excellent understanding of software engineering principles and design patterns
  • Experience in one of the cloud platforms
  • Ability to communicate the results of the analysis
  • Highly effective time management, communication, and organizational skills
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy/childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political/organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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