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Engineering Manger AI (Search)

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Engineering Manger AI (Search)

Bold Technology Systems

Engineering Manger AI (Search)

Skills

PythonData SciencePyTorchTensorFlowJenkinsMachine LearningAIElasticsearchNLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Hybrid

Published on:

20 August 2026

What they need


Company Overview

BOLD is revolutionizing the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of Monster and CareerBuilder will expand our global reach and impact. With a range of brands like FlexJobs, Zety, and Sonara and more, we provide jobseekers with the tools to create impressive resumes and connect with employers. BOLD fosters adynamic, inclusive culture that prioritizes innovation and growth. So don't wait and join us in shaping the future of work and redefining successful careers

Position Overview

As the newest addition to our existing Data Science team, you'll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You'll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products

Key Responsibilities

  • Build AIML models that serve for content generation, content recommendation, and content moderation using LLMs.
  • Responsible for converting business requirements into robust data science algorithms.
  • Responsible for providing technical leadership to a team of data science engineers.
  • Responsible for design, development, deployment of AI/ML, NLP, statistical & content recommendation algorithms that may not require LLMs.
  • Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams
  • Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience
  • Collaborates effectively with cross functional teams to deliver end-to-end products & features.
  • Demonstrates ability to multi-task and re-prioritize responsibilities based on changingrequirements.
  • Responsible for creating model validation framework.
  • Leading a data science team that delivers actionable results through the combination of data science solutions, business skills, statistical knowledge, and understanding of data.
  • Distilling complex analytical results into presentable, digestible, and actionable feedback for product and engineering teams.
  • Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation.
  • Assess, inspire and motivate a high performing team of data science professionals.
  • Experience in using large language models (chatGPT/Gemini/ etc.)

Role & responsibilities

  • Proven experiencein solving open-ended business problems using data-science/ML/AI frominitial ideation stage up to delivering the ready-to-use solution.
  • Strong Programming experience in Python. Familiar with various Machine Learning algorithmsand Statistical methods.
  • 10+yrs of working experience in MLData science with NLP background
  • Must have delivered multiple data science product(s) in production. Deployment with LLMs is a plus.
  • Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, re ranker design .
  • Experience with Solr/OpenSearch/Elasticsearch ...
  • Experience with embedding & vector search
  • Experience designing and implementing ML systems with Data Pipelines (Data Cleaning andcreative Feature Engineering), Model Iterations and Evaluation, High throughput ML(ModelTraining, Evaluation, GPU vs CPU, XGBoost ML), Python ML Libs(TensorFlow, PyTorch).
  • Experience in leading a team of 3-5 data scientists.
  • Experience using tools to deploy models into the production environment such as Jenkins

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