Data Scientist(Agentic AI)

As an AI/ML Engineer at our company, you will be responsible for building and optimizing Machine Learning and AI models. Your key responsibilities will include working on data analysis, feature engineering, and model evaluation. Additionally, you will develop scalable AI/ML pipelines and workflows, handle structured and unstructured datasets, collaborate with engineering and product teams, and implement NLP, predictive modeling, or deep learning solutions. You will also troubleshoot, debug, and optimize model performance. Key Responsibilities: - 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 Preferred Qualifications: - Experience working on end-to-end AI/ML projects - Strong analytical and problem-solving skills - Good communication and collaboration abilities - Ability to work in a fast-paced environment - Ability to quickly learn and adapt to different technologies and tech stacks As an AI/ML Engineer at our company, you will be responsible for building and optimizing Machine Learning and AI models. Your key responsibilities will include working on data analysis, feature engineering, and model evaluation. Additionally, you will develop scalable AI/ML pipelines and workflows, handle structured and unstructured datasets, collaborate with engineering and product teams, and implement NLP, predictive modeling, or deep learning solutions. You will also troubleshoot, debug, and optimize model performance. Key Responsibilities: - 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 Preferred Qualifications: - Experience working on end-to-end AI/ML projects - Strong analytical and problem-solving skills - Good communication and collaboration abilities - Ability to work in a fast-paced environment - Ability to quickly learn and adapt to different technologies and tech stacks