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BOLD

AI-powered resume and job search platform

Engineering Manager - Search and Match

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

  • Proven experience solving open-ended business problems using data science, machine learning, or artificial intelligence from initial ideation through delivery of a ready-to-use solution.
  • Strong programming experience in Python and familiarity with machine-learning algorithms and statistical methods.
  • At least 10 years of working experience in machine-learning data science with a natural language processing background.
  • Experience delivering multiple data-science products in production; deployment with large language models is a plus.
  • Practical large language model and retrieval-augmented generation experience for search quality, including query understanding, semantic retrieval, and reranker design.
  • Experience with Solr, OpenSearch, or Elasticsearch.
  • Experience with embeddings and vector search.
  • Experience designing and implementing machine-learning systems with data pipelines, including data cleaning and feature engineering, model iterations and evaluation, high-throughput machine learning, model training and evaluation, GPU versus CPU considerations, and XGBoost.
  • Experience with Python machine-learning libraries, including TensorFlow and PyTorch.
  • Experience leading a team of 3–5 data scientists.
  • Experience using tools such as Jenkins to deploy models into production.
  • Experience using large language models such as ChatGPT or Gemini.

Responsibilities

  • Build artificial intelligence and machine-learning models for content generation, content recommendation, and content moderation using large language models.
  • Translate business requirements into robust data-science algorithms.
  • Provide technical leadership to a team of data-science engineers.
  • Design, develop, and deploy artificial intelligence, machine-learning, natural language processing, statistical, and content-recommendation algorithms, including those that do not use large language models.
  • Research rich user datasets, develop models, and create data products in collaboration with development and product teams.
  • Develop novel, scalable data systems with system architects, leveraging datasets and machine-learning techniques to enhance the user experience.
  • Collaborate with cross-functional teams to deliver end-to-end products and features.
  • Create a model-validation framework.
  • Lead a data-science team delivering actionable results through data-science solutions, business skills, statistical knowledge, and understanding of data.
  • Distill complex analytical results into clear, actionable feedback for product and engineering teams.
  • Recruit, build, and retain a data-science team.
  • Assess, inspire, and motivate a high-performing team of data-science professionals.

Desired Qualifications

  • Deployment experience with large language models is a plus.

About the Company

BOLD

AI-powered resume and job search platform

BOLD helps job seekers improve their careers by providing online tools, guidance, and support. Its core products include AI-powered resume and cover letter builders and job search tools that assist users in creating strong application documents and finding opportunities. The resume/cover letter builders use artificial intelligence to generate tailored documents based on user input, while job search tools help users discover roles, track applications, and optimize their job-hunting process. BOLD differentiates itself through a large global team across engineering, product, data science, design, and more, a track record of award-winning AI-driven tools, and a presence in over 180 countries, offering end-to-end career support from resume creation to job search. The company’s goal is to transform work lives by helping people achieve their career dreams.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Juan, Puerto Rico
Founded
2005

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