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Sr. Data Scientist
YASH TechnologiesIndia12 days ago
Job descriptionStrong 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). 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. 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.
Job Title : Sr. Data Scientist - AI / ML
Notice Period : 0-30 days only
Location : Hyderabad
Work Model : Hybrid
Senior Data Scientist
We 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
Secondary (Good-to-Have) Skills
Qualifications
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Data Scientist • India
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