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Senior AI/ML Software Engineer
Career Insights for Machine Learning Engineer
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Based on Arkansas data
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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.
$109,982 / year median in Arkansas
Job Description
Job Description Key Responsibilities:
Design and build AI‑enabled backend services and APIs using Java and Python Integrate machine learning and GenAI models into production software systems Develop services that support model inference, orchestration, and business workflows Collaborate with data scientists to productionize models built with TensorFlow, PyTorch, Hugging Face, or similar frameworks Implement scalable, fault‑tolerant microservices that consume and expose AI/ML capabilities Deploy and run applications on OpenStack‑hosted environments without owning underlying infrastructure Work within containerized environments (Docker/Kubernetes) from an application perspective Apply software engineering best practices around API design, performance, testing, and observability Participate in architecture and design discussions for AI‑driven systems Troubleshoot and optimize application‑level performance tied to data volume, model latency, and throughput We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review