Note: This position is open to remote applicants based in Estonia only.
Job Title: Generative AI Engineer
Location: Remote. Estonia ONLY.
Employment Type: Salaried FullTime.
Salary: 3583 5500 per month
We are representing a USbased client that is at the forefront of AI innovation helping organizations harness the power of cuttingedge artificial intelligence technologies. The client develops impactful solutions that empower businesses worldwide to thrive in a rapidly evolving landscape.
Job Overview:
We are seeking a talented Generative AI Engineer to join our dynamic team. In this role you will design develop and implement generative AI models to create innovative solutions tailored to our clients needs. You ll collaborate with crossfunctional teams ensuring the seamless integration of AIpowered applications.
Key Responsibilities:
Develop and finetune generative AI models (e.g. GPT diffusion models GANs) to create highquality outputs aligned with project objectives.
Collaborate with data scientists engineers and stakeholders to identify and solve complex challenges using generative AI.
Design test and optimize machine learning models for performance scalability and accuracy.
Stay updated on the latest advancements in generative AI and incorporate them into ongoing and future projects.
Document technical processes and provide clear guidelines for implementing generative AI solutions.
Support deployment and integration of generative AI applications into production environments.
Qualifications:
Bachelor s or Master s degree in Computer Science AI Machine Learning or a related field.
2 years of experience working with generative AI models (e.g. GPT DALLE Stable Diffusion or GANs).
Strong programming skills in Python and experience with frameworks such as TensorFlow PyTorch or Hugging Face.
Proficiency in natural language processing (NLP) computer vision or multimodal model development.
Strong understanding of AI model training finetuning and evaluation techniques.
Familiarity with cloud platforms (AWS Azure Google Cloud) and MLOps best practices.
Excellent problemsolving skills and a passion for AI innovation.
gan,natural language processing,artificial intelligence,python