Data Scientist
Posted Updated
Description
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.
