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Generative AI Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: blufyn
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Company Description

Blufyn Technologies is a technology consulting and services company dedicated to building innovative and complex IT solutions. Founded by industry veterans with extensive experience, the company has a successful track record of collaborating with Fortune 100 clients and C-level executives across diverse domains. At Blufyn, we leverage deep expertise and years of knowledge to deliver high-quality IT solutions, working closely with clients to meet their unique technological needs.

Our team is committed to designing and implementing transformative solutions that drive business success.

Role Description

This is a full-time on-site role for a Generative AI Engineer based in Phoenix, AZ. The Generative AI Engineer will be responsible for researching, designing, developing, and deploying state-of-the-art generative AI models. Day-to-day tasks include implementing machine learning algorithms, fine-tuning generative models, collaborating with cross-functional teams to solve complex problems, optimizing AI workflows, and staying updated on advancements in AI research.

The role also involves building scalable solutions that meet business needs.

Qualifications
  • Strong understanding of Generative AI, machine learning, and deep learning techniques
  • Experience with programming languages such as Python, Tensor Flow, PyTorch, or similar tools
  • Proficiency in data preprocessing, feature engineering, and working with large datasets
  • Knowledge of natural language processing (NLP), computer vision, or reinforcement learning
  • Problem-solving skills and the ability to collaborate effectively in cross-functional teams
  • Strong analytical skills and ability to design robust and efficient AI models
  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Experience in developing and deploying AI solutions in real-world settings is a plus
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