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Scion Staffing, Inc.

Software Engineer AI/ML

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$124,597 / year median in Texas

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Job Description

Software Engineer AI/ML Location addison, TX 75001 Date Posted August 03, 2026 Job ID 15075 Employment Type Direct Hire Scion Staffing has been engaged to conduct a search for a Senior AI/ML Engineer for an innovative and rapidly growing healthcare services organization focused on modernizing its technology platform through data, AI, and automation. This is an onsite opportunity located in Addison, TX.
POSITION OVERVIEW
Our partner is building the foundation for enterprise AI and is seeking a hands-on Senior AI/ML Engineer to help shape that journey from the ground up. This is a unique opportunity for an experienced engineer who enjoys solving complex business problems, evaluating where AI delivers the greatest value, and designing production-ready AI solutions in a highly regulated environment. The ideal candidate combines deep technical expertise with a consultative mindset and is excited to help define the organization's AI roadmap while remaining hands-on in development.
PERKS:
Competitive salary of $145,000-$160,000, based on experience. Comprehensive medical, dental, and vision insurance, along with retirement savings options. Opportunity to build an enterprise AI program from its early stages and directly influence long-term technology strategy. Collaborative, growing technology organization with exposure to executive leadership and meaningful business initiatives. Stable, mission-driven organization investing in modern cloud technologies, data platforms, and AI innovation.
RESPONSIBILITIES
Design, build, deploy, and support production AI and machine learning solutions, including LLM applications, traditional ML models, and future agentic AI capabilities. Partner with business stakeholders to evaluate opportunities, determine when AI is the right solution, and help prioritize enterprise AI initiatives based on business value. Own the end-to-end AI lifecycle, including data preparation, model selection, prompt engineering, evaluation, deployment, monitoring, drift detection, and continuous improvement. Develop secure, scalable AI architectures utilizing technologies such as RAG, vector databases, model gateways, APIs, and cloud-native services while meeting HIPAA and SOC 2 requirements. Build evaluation frameworks, safety guardrails, observability, and MLOps processes to ensure reliable, production-ready AI systems. Collaborate closely with Data Engineering, Software Engineering, Security, and business teams to establish AI best practices and contribute to the organization's long-term AI strategy and technical roadmap.
QUALIFICATIONS
Minimum 5 years of professional Python software engineering experience, including 2+ years building and deploying production AI, machine learning, or LLM-based applications. Hands-on experience with at least one major LLM platform, such as Azure OpenAI, Anthropic Claude, or AWS Bedrock, along with frameworks including LangChain, LangGraph, LlamaIndex, or similar orchestration tools. Strong experience with prompt engineering, Retrieval-Augmented Generation (RAG), model evaluation, fine-tuning concepts, vector databases, AI observability, and production deployment. Experience deploying AI workloads in cloud environments (Azure preferred) using modern MLOps practices and tools such as MLflow, Kubeflow, Weights & Biases, or comparable technologies. Demonstrated ability to work in ambiguous, greenfield environments, translating business needs into practical AI solutions while helping define technical direction and long-term architecture. Experience building secure applications in regulated environments is strongly preferred, including familiarity with HIPAA technical safeguards, data governance, and enterprise security practices. Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical discipline (or equivalent professional experience).
COMPENSATION AND BENEFITS
This position offers a competitive base salary ranging from $145,000 to $160,000 (DOE) along with a comprehensive benefits package that includes medical, dental, vision, and retirement savings options. Employees will have the opportunity to work on highly visible initiatives, collaborate with experienced technology leaders, and play a foundational role in building an enterprise AI capability from the ground up. This onsite position also provides long-term career growth within a stable organization that is making significant investments in cloud technologies, data platforms, and artificial intelligence.
HOW TO APPLY
For immediate consideration, please submit your resume here!
ABOUT OUR SEARCH FIRM
Scion Staffing is a national award-winning staffing firm! Since 2006, we have had the pleasure of successfully placing thousands of talented professionals with amazing career opportunities. Through our innovative team building and recruiting solutions, we bridge the gap in executive leadership searches, direct hire recruiting, interim leadership placement, and temporary professional staffing. We are proud to be part of the Forbes lists of the Best Recruitment Firms and the Best Executive Search Firms in America. Additionally, Scion has been recognized as a ClearlyRated Best of Staffing firm as well as a top recruitment firm by The Business Times. Additional information about our firm can also be found online. Scion Staffing, Inc. is an equal opportunity employer and service provider and does not discriminate based on race, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation or belief, or any other protected class. We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and the candidates we represent. For opportunities located in a region that have enacted fair chance, arrest or conviction-based employment ordinances, Scion Staffing proactively follows the enacted guidance and considers for employment all qualified applications with arrest and conviction records. We engage in socially conscious business practices and believe that diverse, inclusive, and non-biased talent and recruitment processes are foundational to the success of Scion as well as every client organization with whom we partner.