- 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.