Data Scientist

As a Data Scientist, you will apply machine learning and deep learning techniques to solve real-world business problems across numeric and text-based analytics. You will work across the full data science lifecycle from data acquisition and feature engineering to model development and deployment, collaborating closely with engineering, product, and DevOps teams to deliver customer-centric AI solutions. Develop and deliver high-quality machine learning and deep learning models across a broad range of analytics use cases. Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets. Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform. Collaborate closely with engineering and DevOps teams to support model deployment and operationalization. Contribute to applied research activities and propose data-driven solutions to business challenges. Bachelor s degree in Artificial Intelligence, Data Science or Computer Science and Minimum 04 years of experience is required. Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, and machine learning libraries such as scikit-learn. Proficiency in Python, with working knowledge of Java or R. Experience developing and exposing models through RESTful APIs and containerized deployments using Docker. Applied experience in NLP, including the use of transformer-based models and libraries such as Hugging Face, spaCy, or Gensim.