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Chicago, IL, USA
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We are seeking a highly skilled AI/ML Engineer with deep, hands-on experience building, tuning, and deploying advanced AI models in production environments. This role focuses on operationalizing LLMs, SLMs, and custom models at scale, and designing AI systems capable of automating complex workforce decision-making using agentic AI frameworks.
Model Development & Deployment
Build, fine‑tune, and deploy LLMs, SLMs, and custom AI models at scale.
Perform model optimization, evaluation, and continuous improvement across both large and small architectures.
Own end-to-end design, development, and deployment of AI-driven products and workflows.
Technical Execution
Write production-grade code (primarily Python) to implement AI pipelines, tools, and systems.
Apply agentic AI design patterns to automate workforce decision-making, replicating manager-level decisions at scale.
Integrate new models and tune existing ones, collaborating closely with the technical and product teams.
Performance & Reliability
Drive measurable improvements in model performance and production outcomes.
Establish performance metrics, run evaluations, and optimize for accuracy, speed, and cost efficiency.
Ensure reliability, scalability, and maintainability of AI systems in production.
Customer & Stakeholder Engagement
Support customer adoption by clearly explaining AI functionality, performance, and implementation approaches.
Guide customers through the AI integration journey, ensuring transparency and confidence at every step.
Required Technical Expertise
Proven, hands-on production experience deploying real AI/ML systems (not theoretical or buzzword-driven).
Strong capability in:
Tuning of LLMs and SLMs
Running and scaling models in production
Model performance measurement, optimization, and evaluation
Solid foundation in AI/ML architecture and DevOps principles.
Platform Experience
Proficiency with the AWS cloud stack.
Familiarity with Microsoft AI tools (preferred but not required).
AI System Design
Demonstrated success building reasoning-based, autonomous, or agentic AI solutions.
Ability to design AI systems that automate complex decision-making logic at scale.
MUST HAVE:
-Hands-on expertise in tuning AI models—especially LLMs and SLMs.
-Experience running model tuning workflows at production scale.
-Strong understanding of model performance outcomes and optimization techniques.
Any Graduate
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