Sr. Data Scientist

4 weeks ago

New Delhi, India YASH Technologies Full time

Job Title: Sr. Data Scientist - AI/MLNotice Period: 0-30 days onlyLocation: HyderabadWork Model: HybridSenior Data ScientistWe 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.Key Responsibilities- 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.Primary (Must-Have) Skills- 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).Secondary (Good-to-Have) Skills- Programming experience in Java/Scala/R. - Familiarity with web/backend integration (REST APIs, Django, FastAPI, Spring Boot). - Knowledge of data governance, ethics, and compliance in AI. - Strong business acumen and ability to translate insights into strategies. - Excellent communication and collaboration skills.Qualifications- 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.

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