Applied AI Data Scientist / Prompt Engineer

No third party resume Position Description: Responsible for developing techniques or analytics to transform raw data into meaningful information using statistical analysis, machine learning, and visualization software. The individual is responsible for the following tasks: Collect, process, and analyze structured and unstructured data applying data mining, data modeling, natural language processing, and machine learning techniques. Develop predictive models and algorithms to solve problems. Desi

Job Summary Seeking a Senior AI/ML Engineer with strong experience in building scalable AI platforms, retrieval-augmented generation (RAG) systems, and production-grade ML/data pipelines for enterprise environments. The ideal candidate will have deep expertise in AI/ML engineering, cloud-native architecture, data engineering, and deploying secure, scalable solutions into production. Key Responsibilities Design and build multi-tenant AI platforms, including agentic workflows, RAG services, and L

Job Summary Seeking a Senior AI/ML Engineer with strong experience in building scalable AI platforms, retrieval-augmented generation (RAG) systems, and production-grade ML/data pipelines for enterprise environments. The ideal candidate will have deep expertise in AI/ML engineering, cloud-native architecture, data engineering, and deploying secure, scalable solutions into production. Key Responsibilities Design and build multi-tenant AI platforms, including agentic workflows, RAG services, and LL

Bachelors degree in Computer Science, Data Science, Engineering, or a related field 15+ years of experience in software or data engineering, with at least 4years focused on ML systems or MLOps in a production environment. Demonstrated experience building or operating a shared/enterprise ML platform serving multiple teams or business units. Strong proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face). Hands-on experience with MLOps too