Algonomy | Senior Machine Learning Scientist | Bengaluru | Bharat | BigDataKB.com | 18 Oct 2022

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Job Location: Bengaluru

Position: Senior Machine Learning Scientist
Experience: 2+ Years
Location: Bangalore
Education: M.S. / Ph.D. in computational field like statistics, quantitative economics, computer science.
At Algonomy, we believe the future of our economy is Algorithmic, where businesses will develop resilient, adaptive and agile decisioning abilities that will constantly test and refine AI-driven actions to create the best personal experience for every individual customer at scale.
We aim to become the algorithmic bridge between consumers and brands/retailers, and to lead our customers through the Algorithmic transformation imperative. The name Algo-nomy signifies an expertise in algorithms. As technology evolves our lives (and our clients’) at hyper-speed, Algonomy stands as a bold, creative and agile brand; and these are also the very qualities that every digital-first business needs in order to be successful in the new normal. We are ambitious, we create category leading solutions in our markets, and we are constantly learning, inventing and adapting to stay ahead of our industry’s needs
Interested in joining a highly technical, passionate, and close-knit team of data scientists and machine learning engineers working on state-of-the-art algorithms and technologies? In prototyping, live-testing, and helping productionize deep learning, online and reinforcement learning, natural language processing (NLP), and more? In working on high impact problems with enormous data sets while in an agile, friendly, small company environment? The Science team at Algonomy may be the ideal next step in your career.
You will be:
  • Identifying and solving machine learning problems involving Bayesian optimization, neural networks, NLP, computer vision, and more
  • Productionizing solutions at scale
  • Committing and reviewing code in Python, Tensorflow, and Java
  • Working with experimental and live data
  • Communicating and collaborating with engineering, product management, and client support teams
Requirements:
  • 2+ years professional experience implementing machine learning algorithms
  • 2+ years professional experience writing production-quality code
  • Familiarity with probability, statistics, linear algebra
  • 12+ months intensive experience with at least one of the following:
  • Bayesian optimization, Bandits, or Reinforcement Learning
  • Deep Learning, NLP, or computer vision
  • Experience with databases, distributed data, and data wrangling
  • Excellent communication, collaboration, and teamwork skills




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