Essential Skills

Proficiency in Python (Java a plus) with hands-on experience in modern ML frameworks such as PyTorch and TensorFlow, plus a solid foundation in statistics and data modeling. Experience building end-to-end ML and GenAI pipelines, including data preprocessing, feature engineering, model training, validation, and production deployment. Practical expertise in Generative AI and RAG systems, including embeddings, chunking strategies, hybrid retrieval, reranking, and evaluation techniques. Hands-on experience with agentic AI workflows, including prompt engineering, intent routing, tool orchestration, function calling, and safe tool-use with guardrails. Experience with enterprise software development and cloud-native architectures, including REST APIs, microservices, containerization, CI/CD, and platforms such as AWS, Azure, GCP, or Oracle Cloud. Strong problem-solving skills, with the ability to translate business requirements into scalable, reliable, and cost-effective AI solutions. Excellent written and verbal communication skills, with the ability to work effectively in a collaborative, cross-functional, and global team environment.