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AI/ML Lead

KogniVera

6 - 8 years

Bengaluru

Posted: 06/05/2026

Getting a referral is 5x more effective than applying directly

Job Description

AI/ML Lead

Role: AI/ML Lead

Experience: 10+ Years

Location: Bangalore, India (Onsite)

Employment Type: Full-Time


Key Skills:

Google Vertex, AIML Algorithm, ML Pipeline, CX Agent, Google Commerce search, Python


Key Responsibilities:

  • Design, develop, and deploy scalable machine learning models for travel & retail use cases such as:
  • Personalized recommendations (hotels, destinations, packages)
  • Price prediction and demand forecasting
  • Route optimization (multi-city travel planning)
  • Customer segmentation and behaviour analysis
  • Build and maintain end to end ML pipelines (data ingestion preprocessing training evaluation deployment)
  • Work with large datasets (structured and unstructured) including user behaviour, bookings, and search data
  • Integrate ML models into production systems via APIs and microservices
  • Collaborate with product, engineering, and business teams to translate requirements into ML solutions
  • Implement experimentation frameworks (A/B testing) and continuously improve model performance
  • Explore and integrate modern AI approaches such as:
  • Generative AI (LLMs for travel assistants)
  • RAG-based systems for conversational search
  • Vector search and similarity-based retrieval

Required Skills & Qualifications:

  • 46 years of experience in AI/ML or Data Science roles
  • Experience working with Google CX Agent
  • Experience working with Google Vertex ai and vector database
  • Experience working with Google Commerce search.
  • Strong hands-on experience in Python (NumPy, Pandas, Scikit-learn)
  • Experience with at least one end-to-end ML project in production
  • Solid understanding of ML algorithms.
  • Regression, Classification, Clustering
  • Recommendation Systems (Collaborative/Content-based)
  • Experience with model deployment (Flask/FastAPI, Docker, APIs)
  • Good understanding of data structures, algorithms, and statistics
  • Experience working with databases (SQL/NoSQL)
  • Understanding of models like co-sin similarity etc.
  • Understanding coding agents architecture and implementation.

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