Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI.
Develop data strategies including preprocessing, feature engineering, and scalable data pipelines.
Apply MLOps best practices for model development, deployment, and monitoring.
Collaborate with stakeholders to understand business problems and define data-driven solutions.
Stay current with the latest advancements in AI/ML and evaluate their potential applications.
Ensure models are explainable, ethical, and compliant with regulatory requirements.

Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments.
Strong foundation in Mathematics, Statistics, and Machine Learning theory.
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers).
Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive).
Strong knowledge of SQL and building data pipelines.
Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform).
Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).
Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring).

Senior Data Scientist – AI/ML

Key skills