AI Developer

Insight Global - Chicago, IL

Full-time - Mid Level

Chicago, IL

Administrative and Support Services

About the position

The AI Developer/Engineer role at Insight Global involves designing, developing, and deploying advanced AI/ML applications on AWS and Azure platforms. The position emphasizes building user-centric applications that utilize Retrieval-Augmented Generation (RAG) systems for various functionalities such as chatbots, document reviews, and image analysis. The ideal candidate will have a strong background in AI/ML development, a collaborative approach to problem-solving, and a focus on current trends in AI/ML technologies.

Responsibilities

• Design and develop AI/ML applications on AWS and Azure cloud platforms.
• Implement AI/ML algorithms, models, and frameworks tailored to application requirements.
• Manage robust data pipelines for AI/ML workloads in collaboration with data engineers and scientists.
• Leverage pre-built AI tools to create customized RAG applications for chatbots and document analysis.
• Perform testing and evaluation to ensure high model quality and performance.
• Employ distributed training and cloud-based GPUs for scalable model training.
• Deploy AI/ML models to production environments using services like SageMaker Inference and Azure Machine Learning.
• Establish monitoring and automated retraining pipelines for model accuracy.
• Optimize deployments for scalability, performance, and cost-efficiency in collaboration with DevOps.
• Integrate APIs and commercial AI tools to create user-focused applications.

Requirements

• 5-7 years of development experience with 3+ years in AI/ML solutions on cloud platforms (AWS and Azure).
• Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with AWS (Amazon SageMaker, Amazon Rekognition) and Azure AI/ML (Azure Cognitive Services, Azure Machine Learning).
• Experience with Retrieval-Augmented Generation (RAG) applications and API integration.
• Experience building end-user chatbot applications.
• Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field.

Nice-to-haves

• Familiarity with containerization (Docker, Kubernetes).

Benefits

• Diverse and inclusive work environment.
• Equal opportunity employer with a commitment to diversity.