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Project Lead- Data Science (Search and Match)

2 months, 3 weeks ago
India
Lead
Data Scientist
Data Science and Analytics
CI/CD Deep Learning Elasticsearch LLM Machine Learning Neural Networks NLP OpenSearch Python Solr SQL
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 16

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 research opportunities, develop models, and create data products with Development and Product teams.
  • Develop novel, scalable data systems with system architects that use machine learning to improve the user experience.
  • Collaborate with cross-functional teams, including Engineering, Portals, BI, Product, and Legal, to deliver end-to-end products and features.
  • Estimate effort, identify risks, define schedules, and help ensure project delivery on time.
  • Run review meetings and drive closure of open issues.
  • Evolve prompt engineering applications and benchmark large language models to solve business problems.
  • Implement and experiment with agentic workflows to improve the job seeker experience.
  • Mentor and coach data scientists while providing technical leadership.
  • Take a broad view of product and team impact beyond individual tasks.

Requirements

  • 8+ years of experience as a Project Lead in Data Science.
  • Ability to handle a team of 2-5 members when required.
  • Strong 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.
  • Expert knowledge of Python.
  • Experience with frameworks that optimize prompt engineering, such as LangChain or CrewAI.
  • Practical LLM/RAG experience for search quality, including query understanding, semantic retrieval, and reranker design.
  • Experience with Solr, OpenSearch, or Elasticsearch.
  • Experience with embedding and vector search.
  • Experience using large language models.
  • Experience with distributed, semantic, and vector-based search and matching systems.
  • Experience with prompt engineering, chain-of-thought, retrieval-augmented generation, vector databases, and preferably LLM agents.
  • Experience in feature selection and building and optimizing classifiers.
  • Experience with software stack components such as common programming languages, back-end technologies, database modeling, continuous integration, services-oriented architecture, and software testability.
  • Experience with LangChain and/or LlamaIndex.
  • Keen learner with enthusiasm for developing software.

Interested in this position?

Apply directly on the company website

Apply Now

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