Engineering Manager (Search and Match)

About the role

The current list of services is based on Microservices architecture whose domain ranges from visitor tracking, User profiles, authentication, content and payments. Platform team uses state of the art modern technologies like .Net framework, Python, Java, SQL Server, My SQL, Graph DB, SOLR, and a lot of other tools & technologies serving millions of users with hundreds of million transactions everyday through a scalable and fault tolerant architecture.

What you'll do

• 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

What you need

• 10–18 yrs of experience
• Data structures
• Python
• LLMs
• Machine learning
• NLP
• Elasticsearch
• Any graduate

Good to have

• ETL
• TensorFlow
• PyTorch
• Jenkins
• SQL
• Java