Data Scientist(Agentic AI)

As an AI/ML Engineer at our company, you will be responsible for the following: - Build, train, and optimize Machine Learning and AI models - Work on data analysis, feature engineering, and model evaluation - Develop scalable AI/ML pipelines and workflows - Work with structured and unstructured datasets - Collaborate with engineering and product teams to deliver AI-driven solutions - Implement and improve NLP, predictive modeling, or deep learning solutions - Troubleshoot, debug, and optimize model performance Required Skills: - Strong experience in Python - Hands-on experience in Machine Learning, NLP, or Deep Learning - Good understanding of ML algorithms, statistics, and model evaluation techniques - Experience working with APIs, databases, and data pipelines - Familiarity with SQL and data processing - Understanding of cloud platforms such as AWS/Azure/GCP is a plus Good to Have: - Exposure to Generative AI, LLMs, RAG, LangChain, Vector Databases, or AI Agents - Experience working on chatbot or GenAI-based applications In addition to the qualifications required for the role, the ideal candidate for this position should have experience working on end-to-end AI/ML projects, possess strong analytical and problem-solving skills, have good communication and collaboration abilities, and be adaptable to different technologies and tech stacks. As an AI/ML Engineer at our company, you will be responsible for the following: - Build, train, and optimize Machine Learning and AI models - Work on data analysis, feature engineering, and model evaluation - Develop scalable AI/ML pipelines and workflows - Work with structured and unstructured datasets - Collaborate with engineering and product teams to deliver AI-driven solutions - Implement and improve NLP, predictive modeling, or deep learning solutions - Troubleshoot, debug, and optimize model performance Required Skills: - Strong experience in Python - Hands-on experience in Machine Learning, NLP, or Deep Learning - Good understanding of ML algorithms, statistics, and model evaluation techniques - Experience working with APIs, databases, and data pipelines - Familiarity with SQL and data processing - Understanding of cloud platforms such as AWS/Azure/GCP is a plus Good to Have: - Exposure to Generative AI, LLMs, RAG, LangChain, Vector Databases, or AI Agents - Experience working on chatbot or GenAI-based applications In addition to the qualifications required for the role, the ideal candidate for this position should have experience working on end-to-end AI/ML projects, possess strong analytical and problem-solving skills, have good communication and collaboration abilities, and be adaptable to different technologies and tech stacks.