AI & ML Engineer

Company Description

Townmanor Technologies is creating a unified platform to revolutionize real estate discovery and home services in India. Through its innovative offering, OvikaLiving, the company streamlines the fragmented markets of PG accommodations, co-living spaces, and short-stay rentals. By consolidating these diverse segments into a single smart marketplace, Townmanor empowers users with seamless access to housing and associated services. The company focuses on transforming how people connect with real estate solutions to simplify and enhance their living experiences.

Role Description

We are looking for an AI & Machine Learning Engineer to design and implement intelligent systems that enhance property discovery, pricing optimization, user personalization, and fraud detection across the OvikaLiving platform.

The role involves building production-ready AI models, integrating them into the product, and continuously improving them using real-world data from the marketplace.

Qualifications

Candidates should have one of the following degrees:

• B.Tech / M.Tech in Computer Science, Artificial Intelligence, Data Science, or Machine Learning

• B.Tech / M.Tech in Information Technology or Software Engineering

• Master’s degree in AI, Data Science, or Machine Learning (preferred)

Candidates from reputed engineering institutes and universities are preferred but not mandatory.

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Technical Qualification / Skills

Candidates should demonstrate strong knowledge in:

• Machine Learning algorithms

• Deep learning

• Recommendation systems

• Natural Language Processing (NLP)

• Predictive analytics

• Data modeling

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Programming Skills

Strong proficiency in:

• Python (mandatory)

• SQL

• API development

• Data processing libraries like Pandas, NumPy

Experience with ML frameworks:

• TensorFlow

• PyTorch

• Scikit-learn

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AI Project Experience (Important)

Candidates should have experience building at least one of the following:

• Recommendation systems

• Search ranking models

• Fraud detection models

• Demand prediction models

• Chatbots or AI assistants

• Computer vision models

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Data & Cloud Experience

Experience working with:

• Large datasets

• Cloud platforms such as AWS / Google Cloud / Azure

• Databases such as PostgreSQL / MongoDB

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Additional Preferred Qualifications

• Experience in marketplace platforms (Airbnb / e-commerce / real estate platforms)

• Knowledge of MLOps and model deployment

• • Experience integrating AI models into live products