AI/ML Technical Architect

KogniVera; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

KogniVera is seeking an AI/ML Architect in Bengaluru, Karnataka. This role involves driving intelligent, data-driven experiences in travel technology, with key responsibilities in designing and deploying machine learning models, and maintaining ML pipelines.

The ideal candidate will have 4-6 years in AI/ML roles, hands-on experience with ML projects, and proficiency in Python. Join us to transform travel with cutting-edge AI solutions.

Qualifications

• 4–6 years of experience in AI/ML or Data Science roles.
• Experience working with Google CX Agent, Google Vertex AI, Google Commerce Search.
• Strong hands-on experience in Python (NumPy, Pandas, scikit-learn).

Responsibilities

• Design and deploy scalable machine learning models for travel use cases.
• Build and maintain end-to-end ML pipelines.
• Integrate ML models into production systems via APIs.

Skills

AI/ML experience

Python (NumPy, Pandas, scikit-learn)

ML model deployment (Flask/FastAPI, Docker)

Experience with Google Vertex AI

Understanding of machine learning algorithms

Job description

Job Title

AI/ML Architect

Overall Experience

8-10 Years

Relevant Experience

4–6 Years

About the Role

We are looking for an experienced AI/ML Engineer to join our travel technology platform and drive intelligent, data‑driven experiences. You will play a key role in building smart systems such as personalized travel recommendations, dynamic pricing, route optimization, conversational AI assistants, coding assistants, and other AI initiatives at the organization.

This role is ideal for someone who has hands‑on experience in at least one end‑to‑end AI/ML project and is passionate about applying machine learning to real‑world business problems.

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), and customer segmentation and behavior analysis.
• Build and maintain end‑to‑end ML pipelines (data ingestion → preprocessing → training → evaluation → deployment).
• Work with large datasets (structured and unstructured) including user behavior, 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 with LLMs for travel assistants, RAG‑based systems for conversational search, and vector search and similarity‑based retrieval.

Required Skills & Qualifications

• 4–6 years of experience in AI/ML or Data Science roles.
• Experience working with Google CX Agent, Google Vertex AI, Google Commerce Search, and a vector database.
• 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 machine learning algorithms: regression, classification, clustering, recommendation systems (collaborative/content‑based).
• Experience with model deployment including Flask/FastAPI, Docker, and APIs.
• Good understanding of data structures, algorithms, and statistics.
• Experience working with databases (SQL/NoSQL).
• Understanding of models like co‑sin similarity and coding agents architecture and implementation.