$Not specified
Enhance and deploy generative AI models for real-world applications. Collaborate with cross-functional teams to preprocess large datasets and optimize model performance for scalability.
Strong proficiency in Python and experience with ML frameworks like PyTorch and TensorFlow are required. Familiarity with data preprocessing and a solid understanding of model evaluation and performance optimization are also essential.
About accentedge At accentedge, we are dedicated to developing AI-driven solutions that revolutionize industries and help organizations unlock the potential of emerging technologies. As part of our growing team, you will help optimize and fine-tune state-of-the-art generative AI models that drive innovation across our products and services. Role Overview As a Generative AI Tuning Specialist, you will enhance and deploy generative AI models for real-world applications. You’ll work on fine-tuning models, preprocessing large datasets, and optimizing performance to ensure scalability and seamless deployment. This is an opportunity to collaborate on cutting-edge technologies and make a direct impact on the future of AI innovation at accentedge. Responsibilities Utilize advanced machine learning techniques to develop and fine-tune generative AI models for specific use cases. Collaborate with cross-functional teams to prepare, clean, and preprocess large-scale datasets for model training. Research and implement state-of-the-art algorithms and architectures to improve model performance and accuracy. Optimize models for real-time inference and scalability, ensuring efficient deployment across platforms. Experiment with hyperparameters and model configurations to enhance the quality and output of generative AI solutions. Stay current with industry advancements in generative AI to identify opportunities for innovation. Provide technical expertise to integrate generative AI solutions into products and services. Document findings, processes, and model metrics for continuous improvement and team knowledge sharing. Strong proficiency in Python and hands-on experience with ML frameworks like PyTorch, TensorFlow, or Hugging Face Transformers. Proven experience in fine-tuning and optimizing generative AI models (e.g., GANs, diffusion models, LLMs). Familiarity with data preprocessing for NLP, computer vision, or multimodal applications. Solid understanding of hyperparameter tuning, model evaluation, and performance optimization. Experience with cloud platforms (AWS, Azure, GCP) and deployment tools for scaling AI solutions. Proficiency with version control systems like Git and experiment tracking tools (e.g., MLflow, Weights & Biases). Strong analytical and problem-solving skills with a passion for exploring innovative AI techniques. Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, AI, or related fields. Experience deploying fine-tuned generative models into production systems. Familiarity with MLOps practices for model automation, monitoring, and scaling. Contributions to open-source AI frameworks or research publications. What accentedge Offers Competitive salary and a comprehensive benefits package. A collaborative, innovative environment in downtown Chicago. Flexible hybrid work options to support work-life balance. Career growth opportunities with access to cutting-edge tools, resources, and training. The chance to work on impactful AI projects alongside passionate, forward-thinking experts. Ready to Innovate? If you’re excited about fine-tuning generative AI models, driving innovation, and pushing the boundaries of technology, we want to hear from you! Apply now to join accentedge and help deliver world-class AI solutions.
This job posting was last updated on 9/24/2025