Senior Data Scientist

We are looking forward to hire AI/ML Professionals in the following areas :\n\nSenior Data Scientist\nWe are seeking an experienced Senior Data Scientist to design, develop, and deploy advanced machine learning and AI solutions. In this role, you will work closely with cross-functional teams and business stakeholders to translate complex data into actionable insights, while ensuring best practices in data science, MLOps, and scalable AI systems.\n\nKey Responsibilities\nDesign and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI.\nDevelop data strategies including preprocessing, feature engineering, and scalable data pipelines.\nApply MLOps best practices for model development, deployment, and monitoring.\nCollaborate with stakeholders to understand business problems and define data-driven solutions.\nStay current with the latest advancements in AI/ML and evaluate their potential applications.\nEnsure models are explainable, ethical, and compliant with regulatory requirements.\n\nPrimary (Must-Have) Skills\nStrong foundation in Mathematics, Statistics, and Machine Learning theory.\nProficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).\nProven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers).\nHands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive).\nStrong knowledge of SQL and building data pipelines.\nExperience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform).\nHands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).\nUnderstanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring).\n\nSecondary (Good-to-Have) Skills\nProgramming experience in Java/Scala/R.\nFamiliarity with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).\nKnowledge of data governance, ethics, and compliance in AI.\nStrong business acumen and ability to translate insights into strategies.\nExcellent communication and collaboration skills.\n\nQualifications\nBachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.\n4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments.