
AI Engineer, Bloomington, IL (Complete onsite)- W2 position- NO C2C
Quick overview
Job description
Job Title: AI Engineer
Location: Bloomington, IL ( ONSITE )
Mode of Work: Work from Office
W2 position- NO C2C- Client is unable to sponsor visa.
Primary Skill: AI, ML, Generative AI, GitHub CoPilot, Prompt Engineering,
Must Have:
• Hands-on Experience in either of the following programming languages – Python /C# / Java/ JavaScript
• AI-centric libraries like TensorFlow, PyTorch, Keras
• Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.
• Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.
• Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs)
• Hands-on Experience in using Coding Assistants – GitHub Copilot, Codium, ChatGPT
• Hands-on Experience in using Agentic AI Platforms – Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc
• Experience with cloud platforms like AWS, Azure, Google Cloud Platform
• Provide direction, mentorship for junior AI engineers in all projects related aspects
• Participate & perform code reviews of Generative AI, AI Components & Codebase
• Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.
• Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.
Optional Skills & Qualifications:
• Experience in developing, managing products/solutions using .NET Platform / Java Platform either the Full Stack & Monolith
• Understanding & working knowledge of Classic ASP, VB6
• Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI) and DevOps tools (e.g., Docker, Kubernetes) for continuous delivery of Java applications.
• Basic understanding of cloud security best practices
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