Data Science

Should Have experience in Data Science and Machine Learning, with a focus on AI Engineering and large-scale data preparation. Should have experience in data science and machine learning. Strong proficiency in Python and key libraries (PyTorch, TensorFlow, Scikit-learn). Must Have Hands-on experience with NLP frameworks such as Hugging Face and Transformers. Practical knowledge of LLMs/SLMs and prompt engineering. Experience with agentic orchestration for autonomous AI workflows. Familiarity with vector databases like Pinecone, Weaviate, and Milvus. Understanding of SQL and NoSQL data systems. Experience deploying AI solutions on cloud platforms such as Azure AI Foundry, Vertex AI, or SageMaker. Excellent problem-solving and communication skills. Ability to work effectively in a collaborative, fast-paced environment. .