About the role
Key Responsibilities
* Design, build, and deploy scalable AI and Machine Learning models to solve complex business problems. * Develop predictive, classification, recommendation, and optimization models using structured and unstructured data. * Build and fine-tune Large Language Models (LLMs) and Generative AI applications for enterprise use cases. * Develop Retrieval-Augmented Generation (RAG) solutions and prompt engineering strategies. * Collaborate with cross-functional teams including business stakeholders, data engineers, and application developers to deliver AI-driven solutions. * Evaluate model performance and continuously optimize models for accuracy, scalability, and reliability. * Stay current with emerging AI technologies, research, and industry best practices. * Document models, methodologies, and deployment processes following enterprise standards. * Mentor junior data scientists and contribute to AI best practices within the team.
Required Qualifications
* Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. * 6+ years of experience as a Data Scientist or in a similar AI/ML role. * Strong hands-on experience in Artificial Intelligence and Machine Learning model development. * Experience building, training, validating, and deploying ML models in production environments. * Hands-on experience with Large Language Models (LLMs) and Generative AI technologies. * Experience with prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG). * Strong programming skills in Python. * Experience with ML libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. * Experience with SQL and data manipulation techniques. * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. * Strong analytical, problem-solving, and communication skills.