Live opening · Posted 27 days ago
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About the role
Description supplied by the original job listing.
Responsibilities:
Research: Stay up-to-date with the latest research in the NLP/NLU space and work on various problems like topic modeling, machine translation, token classification/NER, semantic understanding, and knowledge graphs.
Design: Take ownership for 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 and suggest improvements and optimizations in deployed algorithms and implement the same while participating in agile development.
Collaborate: Partner 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 organizational best practices.
Leadership: Perform technical reviews and 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 and 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, 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, 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 startup with strict deadlines.
Reasonable communication and teamwork skills.
Experience
3-6 yrs
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