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, perform data exploration and preprocessing on structured and unstructured datasets, and conduct feature engineering Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace Collaborate closely with engineering and DevOps teams to support model deployment and operationalization Contribute to applied research activities, propose data-driven solutions to business challenges, and work with product, support, and client-facing teams to ensure successful rollout of AI solutions

Desired Candidate Profile

Bachelor s degree in Artificial Intelligence, Data Science, Business Analytics, Computer Science, Mathematics, Engineering, or a related field preferred Minimum 7 10 years of professional experience in data science or applied machine learning roles Strong foundation in theory and applied practice of machine learning and deep learning; experience with deep learning frameworks such as TensorFlow and PyTorch 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 transformer-based models and libraries such as Hugging Face, spaCy, or Gensim; familiarity with SQL, Pandas, Apache Spark, and ML lifecycle tools such as MLflow