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Salary
$20k – $49k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
VMock designs and develops online platform that help in talent short-listing and executive learning and development. The platform enables users to upload their resume and get scores based on various benchmarks on their resume.

Responsibilities:

  • Research: Stay up-to-date with the latest research in the NLP/NLU/Gen AI space and work on various problems like topic modelling, machine translation, token classification/NER, semantic understanding, and knowledge graphs.
  • Design: Take ownership of Pythonic applications within the team and work independently to ensure their launch, improvement, and maintenance and participate in product design discussions and decisions.
  • Implement: Enhance current product features and proactively develop new features that have a reasonable value proposition for the end-user; suggest improvements and optimisations in deployed algorithms and implement the same while participating in agile development.
  • Collaborate with product managers to make data-driven decisions and help solve problems for end-users as well as other data science teams to establish and follow organisational best practices.
  • Leadership: Perform technical reviews, bring overall leadership within the team and provide mentorship and training to junior team members.

Requirements:

  • B. Tech / M. Tech from a top-tier engineering college with a strong mathematical background.
  • 3+ years of experience in machine learning, 2+ years of experience working with NLP/NLU-based technologies.
  • Experience in machine/deep learning frameworks such as TensorFlow, Keras, and PyTorch and good knowledge of CNN, RNN/LSTM/GRU, Transformer models, generative AI, transfer learning, and ensemble learning, as well as classical ML techniques like LDA, SVD, and clustering.
  • Strong Python programming skills and familiarity with back-end development / DevOps - Flask, uWSGI, MySQL, Celery, and Docker will be a plus.
  • Bonus: Prior experience with AWS-related services and familiarity with platforms like MLflow for managing ML lifecycle and experimentation.
  • Strong problem-solving skills and readiness to learn new concepts and apply them to find practical solutions to complex problems.
  • Ability to work in a fast-paced start-up with strict deadlines.
  • Reasonable communication and teamwork skills.
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