Livecareer
Engineering Manager (Search and Match)
Noida, Uttar Pradesh, India. Posted 10 months ago
The role
You will lead a data science team to build AIML models for content generation, recommendation, and moderation. You will use large user data sets to develop data products and scalable data systems.
What you will do
- Build AIML models for content generation, recommendation, and moderation using LLMs
- Convert business requirements into robust data science algorithms
- Provide technical leadership to a team of data science engineers
- Design, develop, and deploy AI/ML, NLP, statistical and content recommendation algorithms
- Leverage user data sets to perform research and create data products
- Develop novel and scalable data systems in cooperation with system architects
- Collaborate with cross functional teams to deliver end-to-end products and features
- Create model validation frameworks
- Recruit, build, and retain a top-tier data science team
- Assess, inspire, and motivate a high performing team of data science professionals
Required qualifications
- Proven experience in solving open-ended business problems using data-science/ML/AI from ideation to delivery
- Strong Programming experience in Python
- Familiar with various Machine Learning algorithms and Statistical methods
- 10+ yrs of working experience in ML Data science with NLP background
- Must have delivered multiple data science product(s) in production
- Practical LLM/RAG experience for search quality such as query understanding, semantic retrieval, reranker design
- Experience with Solr /OpenSearch/ Elasticsearch
- Experience with embedding & vector search
- Experience designing and implementing ML systems with Data Pipelines
- Experience with Model Iterations and Evaluation
- Experience with High throughput ML (Model Training, Evaluation, GPU vs CPU, XGBoost ML)
- Experience with Python ML Libs (TensorFlow, PyTorch)
Nice to have
- Deployment with LLMs
About the company
BOLD is an established global organization that helps people find jobs through digital products. They create products that empower millions of people in 180 countries to build resumes, cover letters, and CVs.