Senior AI/ML Data Engineer

Kforce has a clilent in Frisco, TX that is seeking a Senior AI/ML Data Engineer. Summary: Join a growing data and AI engineering team focused on building scalable, cloud-native solutions that drive advanced analytics, machine learning, and business decision-making. This role will lead the design, development, and optimization of modern data platforms, real-time processing pipelines, and production-grade ML infrastructure. You'll work across the full data lifecycle, from ingestion and transformation to model deployment, monitoring, and AI-powered applications. The ideal candidate enjoys solving complex data challenges, building high-quality engineering solutions, and partnering with cross-functional teams to deliver measurable business outcomes. You will contribute to initiatives involving large-scale analytics, recommendation systems, event-driven architectures, generative AI, retrieval-augmented generation (RAG), graph-based data models, and operational machine learning. This is an opportunity to own critical platform capabilities, influence technical direction, mentor others, and help scale a modern AI ecosystem within a highly collaborative environment.

• Bachelor's degree in Computer Science or related field with 6+ years of experience, or Master's degree with 4+ years of experience
• Strong hands-on development experience with Python and SQL
• Experience building and maintaining large-scale data pipelines in a code-first environment
• Experience with modern data engineering tools such as dbt, Airflow, Cloud Composer, or similar platforms
• Experience working with cloud technologies, preferably Google Cloud Platform (GCP); AWS experience also considered
• Knowledge of data warehousing, dimensional modeling, semantic layers, and data governance best practices
• Experience with real-time or event-driven architectures using Pub/Sub, Kafka, Dataflow, or comparable technologies
• Experience deploying, monitoring, or supporting machine learning platforms and production ML workloads
• Understanding of MLOps concepts including CI/CD, model versioning, testing, monitoring, and observability
• Exposure to AI/ML technologies including LLMs, vector embeddings, semantic search, automation agents, or RAG solutions
• Experience with graph databases such as Neo4j, Neptune, or similar technologies
• Strong problem-solving, communication, and collaboration skills
• Ability to work in a fast-paced environment and take ownership of technical solutions
• Visa sponsorship is not available for this position