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Module Lead- Data Science (Search and Match)

1 month, 1 week ago
India
Senior
AI Engineer
Software Development
CI/CD Deep Learning Elasticsearch Flask Gensim LLM Machine Learning Neural Networks NLP NLTK OpenSearch Python PyTorch Solr spaCy SQL TensorFlow
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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 19

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 novel and scalable data systems with system architects to improve user experience using machine learning techniques.
  • Collaborate with cross-functional teams including Engineering, Portals, BI, Product, and Legal to deliver end-to-end products and features.
  • Estimate effort, identify risks, and help create and meet project schedules.
  • Run review meetings and drive closure of open issues on time.
  • Mentor and coach data scientists, providing technical leadership and supporting their development.
  • Identify broader product and team implications beyond immediate technical details.
  • Explore state-of-the-art methods and keep solutions current with technology.

Requirements

  • 5.5 years of experience as a Module Lead in Data Science.
  • Expert knowledge of Python.
  • Knowledge and experience with statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, and ensemble methods.
  • Practical LLM/RAG experience for search quality, including query understanding, semantic retrieval, and reranker design.
  • Experience with Solr, OpenSearch, or Elasticsearch.
  • Experience with prompt engineering frameworks such as LangChain or CrewAI.
  • Experience with embedding and vector search.
  • Experience using large language models.
  • Experience in 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 software stack components including programming languages, back-end technologies, database modeling, continuous integration, service-oriented architecture, and software testability.
  • A keen learner with enthusiasm for developing software.

Benefits

  • Equal Opportunity Employer with a strong commitment to diversity and inclusion.
  • Consideration of qualified applicants with arrest and conviction records under San Francisco's Fair Chance Ordinance.

Interested in this position?

Apply directly on the company website

Apply Now

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