Hiring: Senior Data Scientist Company: Flexjet Location: Cleveland, OH Job Posted Time: 2026-09-10 13:45:59 Target Skills & Keywords : AWS, Azure, CI/CD, Data Pipeline, Data Warehouse, Docker, ETL, Fine-tuning, GCP, Git, Hugging Face, Kubernetes, LLM, LangChain, LlamaIndex, MLOps, Machine Learning, Python, RAG, REST, SQL About the job Experience: •5+ years of experience in Data Science, Machine Learning, and AI software engineering, machine learning engineering, platform engineering, MLOps, or DevOps. •Hands-on expertise in data preprocessing, feature engineering, and model evaluation Required Skills: •Flexjet is seeking a Senior-Level Enterprise AI Data Scientist to design, develop, and deploy enterprise-scale AI and Generative AI solutions that improve productivity, automate workflows, and enhance decision-making across the organization. •This role focuses on building LLM-powered enterprise applications, such as internal knowledge assistants, document processing systems, and workflow automation tools. The ideal candidate has hands-on experience with machine learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise data systems. •Partner cross-functionally with data engineers, software engineers, product teams, and business stakeholders to build secure, scalable, and production-ready AI solutions that align with enterprise governance and compliance standards. •Design and implement enterprise-scale machine learning models, including predictive and classification systems •Develop intelligent automation solutions to streamline business workflows •Build and deploy LLM-powered applications, such as enterprise knowledge assistants and chatbots •Design and implement Retrieval-Augmented Generation (RAG) pipelines •Develop solutions for semantic search, document intelligence, and enterprise search capabilities Qualifications: •Programming: Strong proficiency in Python and SQL •In-depth knowledge of data preprocessing, feature engineering, and model evaluation •Data pipelines, ETL processes, and enterprise data warehouses •API integrations and distributed/enterprise-scale systems •Building and maintaining production-ready ML systems •Operational familiarity with Docker, Kubernetes, and REST APIs •CI/CD pipelines and version control (Git) •Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field, or an equivalent combination of education, training, and relevant professional experience. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!