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Data Scientist

 

Data Scientist

  • JR-130221
  • Bangalore
  • Data Science, Reporting and Analytics
  • Full time
Data Scientist

Equinix is the world’s digital infrastructure company, operating 240+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together 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. 

At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. Our culture is based on collaboration and the growth and development of our teams.   

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. 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:
Watched a movie online? accessed an email? Used a cloud? Odds are that you are already been using Equinix data centers in some form.
 

Equinix operates International Business Exchange™ where information driven world lives and thrives. Equinix IBXs provide a platform where many of the world’s best brands are launching their next break through innovations.

What we are looking for
As a Full stack Data Scientist, you will be responsible to build, optimize our AI/ML systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive capabilities.

Must: NLP (Should be able to build the models with use cases like Sentiment Analysis, Named Entity Recognition, Text Summarization, Information Retrieval, Topic Modeling, Text Classification, and Keyword Extraction),

Tech stack:  PyTorch with the ability to use pre-trained models from huggingface or similar open-source models and repurpose them for our use cases.

At least two of these Skills along with NLP: Tree-Based Methods, Time Series/Forecasting, Reinforcement Learning, and Computer Vision


Responsibilities
• Research and implement appropriate ML algorithms and tools
• Envision, implement, and deliver production-level NLP models
• Deploy ML models into production using cutting edge deployment strategies, conduct A/B tests to objectively measure improvements
• Keep innovating and optimizing the machine learning workflow, from data exploration, model experimentation/prototyping to production
• Apply cutting edge technologies and tool chain in big data and machine learning to build machine learning platform on Cloud (ML ops)
• Building Features, running tests, performing statistical analysis, and interpreting test results
 


Qualifications
• Masters or PhD with emphasis on Data Science, Machine learning, or Statistics
• 2-5 years of Data Science Experience, 2+ years of experience for Masters, 1+ years for PhD

• Proficient in any of the deep learning frameworks such as PyTorch, TensorFlow or Keras
• Familiarity with Dockers and Kubernetes for deploying automation pipelines to production environments or Deploying Machine Learning models in AWS, GCP or Azure
• Experience in building, deploying, and improving Machine Learning models and algorithms in real-world products with expertise in NLP, NLU
• Excellent understanding of software engineering principles and design patterns
• Experience in one of the cloud platforms
• Ability to communicate the results of analysis
• Highly effective time management, communication, and organizational skills

•  Having worked on problems related to NLP, Tree-Based Methods, Time Series/Forecasting, Reinforcement Learning, and Computer Vision in solving problems within a large organization
 

Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, colour, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

View additional Equal Employment Opportunity information here.

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Equal Employment Opportunity: 
Equinix is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

(US Applicants)

Please click here to see the “EEO is the Law” poster and supplement.

Please click here to see our EEO Policy Statement.

Please click here to see our Pay Transparency Policy Statement.