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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.
Job Responsibility
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
Requirements
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