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

Description

  • Build AI/ML models for content generation, content recommendation, and content moderation using LLMs.
  • Convert business requirements into robust data science algorithms and ready-to-use solutions.
  • Provide technical leadership to a team of data science engineers.
  • Design, develop, and deploy AI/ML, NLP, statistical, and recommendation algorithms.
  • Leverage user data to research, develop models, and create data products with Development and Product teams.
  • Develop scalable data systems with system architects to improve the user experience through machine learning.
  • Collaborate with cross-functional teams, including Engineering, Product, BI, Legal, and Portals, to deliver end-to-end products and features.
  • Create model validation frameworks and distill analytical results into actionable feedback for product and engineering teams.
  • Recruit, build, retain, assess, inspire, and motivate a high-performing data science team.
  • Manage changing priorities and re-prioritize work as business needs evolve.

Requirements

  • 10+ years of experience in machine learning/data science with an NLP background.
  • Strong programming experience in Python.
  • Experience solving open-ended business problems using data science, ML, or AI from ideation through delivery.
  • Familiarity with machine learning algorithms and statistical methods.
  • Experience with prompt-engineering frameworks such as LangChain, CrewAI, or similar tools.
  • Experience delivering multiple data science products into production; LLM deployment experience is a plus.
  • 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 designing and implementing ML systems, including data cleaning, feature engineering, model iteration, evaluation, and high-throughput training with TensorFlow, PyTorch, or XGBoost.
  • Experience leading a team of 3-5 data scientists.
  • Experience using deployment tools such as Jenkins.
  • Engineering Manager, Data Science experience with 10+ years preferred.

Interested in this position?

Apply directly on the company website

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