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Salary
≈ $13k – $33k per year (Estimated)
Location
In office (Gurgaon)
Experience
2+ years exp

First seen by Alion on Oct 3, 2026.

Overview
Company
Impact
Profile match

OZi

Baby and Kids' Products Delivered in 60 Minutes. At OZi, we believe that every parent deserves convenience & quality without compromise. Parenting is already full of challenges; finding the right baby, kid, and mother care essentials shouldn't be one of them.
Backed by RTP Global

Job Description :


- Design, develop, and deploy machine learning models for real-world business problems.

- Work on areas such as recommendation systems, search & ranking, demand forecasting, personalization, customer intelligence, and operational optimization.

- Build and improve ML pipelines covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.

- Work with large datasets to identify patterns, generate insights, and build predictive solutions.

- Experiment with different ML algorithms and approaches to improve model performance and business metrics.

- Develop scalable and production-ready ML solutions in collaboration with Product, Engineering, Data, and Business teams.

- Implement model monitoring, retraining, and performance optimization for production systems.

- Explore and integrate Generative AI / LLM-based solutions where relevant to OZi's products and operations.

- Translate ambiguous business problems into measurable ML problems and deliver end-to-end solutions.

- Stay updated with the latest developments in machine learning, deep learning, LLMs, and AI infrastructure.

Requirements :

- 2 - 5 years of experience in Machine Learning / AI / Data Science, preferably with experience deploying models in production.

- Strong programming skills in Python.

- Strong understanding of machine learning algorithms, statistics, and data structures.

- Hands-on experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or equivalent.

- Experience working with SQL and large datasets.

- Understanding of model evaluation, feature engineering, experimentation, and optimization.

- Experience with ML deployment, APIs, model serving, or MLOps is a plus.

- Familiarity with LLMs, embeddings, vector databases, RAG, prompt engineering, or GenAI applications is an advantage.

- Strong problem-solving skills and the ability to work independently in a fast-paced startup environment.

Skills

Artificial Intelligence, Machine Learning, Data Science, Generative AI, Python, PyTorch, Tensorflow, Deep Learning, LLM, Prompt Engineering

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