Senior AI/ML Data Engineer

Kforce Inc; Frisco (TX); Presencial; USD 130 000 - 195 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical, Dental, Vision

HSA

FSA

401(k)

Life & Disability

Paid time off

Resumo da oferta

Kforce is seeking a Senior AI/ML Data Engineer in Frisco, TX to lead design, development, and optimization of cloud-native data platforms and real-time pipelines. You will deploy production ML workloads, build scalable data solutions, and mentor team members in a highly collaborative environment.

The role involves working across the full data lifecycle from ingestion to model deployment, monitoring, and AI-powered applications, with emphasis on scalable architectures and measurable business

Qualificações

• Bachelor’s degree in Computer Science or related field with 6+ years of experience, or Master’s with 4+ years
• 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

Conhecimentos

Python

SQL

Airflow

dbt

GCP

Data pipelines

MLOps

Pub/Sub/Kafka/Dataflow

Neo4j/Neptune

CI/CD

Formação académica

Bachelor’s degree in Computer Science or related field

Master’s degree

Ferramentas

dbt

Airflow

Cloud Composer

Neo4j

Neptune

Kafka

Dataflow

Descrição da oferta de emprego

Responsibilities

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 will 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.

Requirements

• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

• We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.
• Salaried personnel receive paid time off.
• Hourly employees are not eligible for paid time off unless required by law.
• Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.