Data Scientist

*This position is also open to work remotely from anywhere in Mexico*

Who is DigitalOnUs by Tech Mahindra? 

At DigitalOnUs by Tech Mahindra, we not only provide Agile and DevOps methodologies to our customers, we have adopted the same within the company as well. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers. Each day, we strive to make great come alive. Our lemma: “work smart and play hard”

Our technology partners are Hashicorp, Cloudbees, Chef, Pagerduty, Docker and SAP.

We are always looking for the brightest candidates to come and we offer a work environment with everything you need to be your best. Does Ambition, Success, Fun, Friends & Learning define your idea of a career? Join us and be part of our family!

We’re looking for a Data Scientist who is well-versed in supporting Open Source with experience in software development, compilers, Machine learning etc . In this role, you will work closely with the TensorFlow engineers to triage, reproduce, and provide solutions to the community raised issues.

Roles and Responsibilities:

• Support GitHub issues and PRs and answer GitHub, StackOverflow, TensorFlow Forum questions regarding TensorFlow/Keras
  • Triage: issues and pull requests
  • Reproduce issues filed by the community, troubleshoot and collect information to share with stakeholders
  • Provide solutions to community questions
• Improve & maintain CI (Continuous Integration)
  • Investigate / fix build errors
• Continuously work to customize and enhance support operations and increase customer satisfaction
• Work closely with product and engineering teams to find and create solutions

Skills:

• Experience in deep learning framework such as TensorFlow or Keras
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
• Should have 4+ yrs of relevant experience in data science