2 часа назад
Senior AI/ML Engineer (GenAI & Platform Intelligence)
141 400 - 193 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI/ML Engineer (GenAI & Platform Intelligence) (Python, LLMs, cloud): Building production-grade machine learning models, GenAI product features, and scalable inference architectures across cloud, edge, and on-premises environments with an accent on intelligent copilots, automated analysis, natural language interfaces, and platform intelligence. Focus on deploying reliable LLM solutions, optimizing model performance and latency, and accelerating software delivery through AI-assisted testing, code generation, code reviews, and CI/CD.
Location: Milwaukee, Wisconsin, United States
Salary: $141,400–$193,400 per year
Company
provides staffing and employment opportunities for technical professionals.
What you will do
- Design, build, and deploy production-grade machine learning models and GenAI capabilities across cloud, edge, and on-premises environments.
- Develop LLM-powered product features, including intelligent copilots, automated diagnostic analysis, smart recommendations, and natural language interfaces.
- Build scalable, high-performance inference and deployment architectures for heavy production AI workloads.
- Monitor and optimize model performance, accuracy, latency, and reliability in live environments.
- Implement AI-assisted developer tools that improve software delivery, code generation, automated testing, code reviews, and CI/CD pipelines.
- Establish AI engineering standards and governance while mentoring engineers on emerging AI technologies and responsible AI usage.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
- At least 7 years of professional software engineering experience and 5 years of hands-on experience developing, deploying, and maintaining machine learning solutions.
- Fluency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
- Experience building and integrating Generative AI and Large Language Model solutions.
- Familiarity with AWS, Azure, or GCP, plus software architecture, secure APIs, data pipelines, and production deployment practices.
- Strong communication, collaboration, analytical problem-solving, and technical leadership skills.
Nice to have
- Experience with Retrieval-Augmented Generation, vector databases, and advanced prompt engineering.
- Experience deploying and optimizing AI solutions in edge, embedded, or IoT environments.
- Knowledge of MLOps, model monitoring, drift detection, and AI governance.
- Familiarity with industrial controls, automation systems, smart infrastructure, or enterprise IoT.
- Experience supporting Agile/Scrum product teams.
Culture & Benefits
- Cross-functional collaboration with product leaders, software engineers, and data scientists.
- For temporary assignments lasting 13 weeks or longer: major medical, dental, vision, and 401(k) benefits.
- Statutory sick pay where required.
- Reasonable accommodations are available throughout the employment process.
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