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Module Lead- Data Science (Fine Tuning)

1 hour, 15 minutes ago
India
Lead
AI Engineer
Data Science and Analytics
CI/CD Deep Learning Flask Gensim LLM Machine Learning Neural Networks NLP NLTK Python PyTorch spaCy SQL TensorFlow
Apply Now
BOLD

BOLD

BOLD is a tech company dedicated to transforming work lives by providing online products, tools, guidance, and support for job seekers, employers, and businesses. Founded by passionate entrepreneurs, BOLD empowers individuals to reach their professiona...

Internet Software & Services
251-1K
Founded 2004
View All Jobs 9

Description

  • Work on data science projects involving NLP, large language models, predictive modeling, statistical analysis, vector space modeling, and machine learning.
  • Use rich user data sets to conduct research, develop models, and create data products with Development and Product teams.
  • Develop scalable data systems with system architects to leverage datasets and improve the user experience using machine learning techniques.
  • Collaborate with cross-functional teams to deliver end-to-end products and features.
  • Estimate effort, identify risks, plan project schedules, and manage delivery timelines.
  • Run review meetings and drive closure of open issues.
  • Mentor and coach data scientists while providing technical leadership.
  • Balance multiple priorities and re-prioritize work as requirements change.
  • Surface broader product and team implications beyond immediate details.

Requirements

  • 5.5+ years of experience in Data Science as a Module Lead.
  • Knowledge of statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, and ensemble methods.
  • Expert knowledge of Python.
  • Experience working with large language models; fine-tuning experience is a plus.
  • Experience with feature selection and building and optimizing classifiers.
  • Experience with backend technologies such as Flask and Gunicorn.
  • Experience with open-source NLP libraries such as spaCy, NLTK, and Gensim.
  • Experience with deep learning libraries such as TensorFlow and PyTorch.
  • Experience with common software stack components, including programming languages, database modeling, continuous integration, service-oriented architecture, and software testability.
  • Keen learner with enthusiasm for developing software.

Interested in this position?

Apply directly on the company website

Apply Now

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