Generative AI Engineer at accentedge, LLC

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Python, Cloud Platforms, Machine Learning, Docker, Kubernetes, Data Preprocessing, Model Optimization, Version Control, Problem-Solving, NLP, Computer Vision, Multi-Modal AI, Experiment Tracking, AI Innovation

Industry

IT Services and IT Consulting

Description

About accentedge At accentedge, we are pioneering AI-driven solutions that transform industries and empower businesses to thrive in an ever-evolving digital landscape. Our mission is to leverage cutting-edge Generative AI technologies to deliver innovative tools for automation, creativity, and growth. We are seeking a talented Generative AI Engineer to join our team in Chicago and play a key role in building impactful AI solutions. Role Overview As a Generative AI Engineer, you will design, build, and deploy state-of-the-art generative models for diverse applications, including text, images, and audio. You will work on developing scalable AI solutions, fine-tuning pre-trained models, and ensuring seamless integration into accentedge’s technology ecosystem. This role offers a unique opportunity to work on exciting projects that push the boundaries of AI innovation. Key Responsibilities Design and develop advanced Generative AI models (e.g., GANs, transformers, diffusion models, and LLMs). Fine-tune and optimize pre-trained models (e.g., GPT, Stable Diffusion, LLaMA) for specific applications. Deploy and scale AI models using cloud platforms like AWS or Azure. Collaborate with cross-functional teams, including product managers and software engineers, to integrate models into production systems. Develop efficient ML pipelines for model training, deployment, and monitoring. Conduct experiments to evaluate model performance, troubleshoot issues, and iterate on solutions. Stay current with advancements in Generative AI research and implement the latest technologies. Build tools and workflows to support AI-driven product development. Strong programming skills in Python with experience in frameworks like PyTorch, TensorFlow, or Hugging Face Transformers. Solid understanding of Generative AI techniques: GANs, VAEs, transformers, diffusion models, or large language models (LLMs). Experience deploying AI/ML models on cloud platforms such as AWS, Azure, or GCP. Proficiency with Docker and Kubernetes for containerized deployments. Experience with data preprocessing and creating training pipelines for large datasets. Ability to optimize model performance through techniques like quantization, pruning, or parallelization. Familiarity with version control systems (e.g., Git) and modern development workflows. Strong problem-solving skills with a passion for innovative AI-driven solutions. Preferred Qualifications Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related fields. Experience integrating generative models into production applications. Familiarity with tools like MLflow, Ray, or Weights & Biases for tracking experiments. Prior experience with NLP, computer vision, or multi-modal generative AI projects. Contributions to open-source AI frameworks or models. What accentedge Offers Competitive salary and comprehensive benefits package. Hybrid work environment with collaboration opportunities in downtown Chicago. A chance to work on cutting-edge AI projects in a collaborative and innovative environment. Career growth opportunities with access to training, conferences, and AI research resources. Work-life balance with flexible working arrangements. The opportunity to make a real impact in a forward-thinking company committed to technological innovation. If you are passionate about Generative AI, eager to solve challenging problems, and want to contribute to transformative solutions, we invite you to join accentedge. Apply today and help us shape the future of AI innovation!

Responsibilities

Design, build, and deploy generative models for applications including text, images, and audio. Collaborate with teams to integrate models into production systems and develop efficient ML pipelines.