À propos
We are seeking a highly skilled professional to join our team. In this role, you will be responsible for developing, fine-tuning, and applying advanced generative AI models, including diffusion models, large language models (LLMs), and other state-of-the-art architectures. You will collaborate closely with cross-functional partners in research, data engineering, and operations to deliver high-quality machine learning solutions and scalable datasets. This position requires a balance of technical depth and creative problem-solving. You should be comfortable working with large, complex datasets and possess a strong grasp of modern ML frameworks, distributed computing environments, and end-to-end data pipelines.
Required Skills & Qualifications
Bachelor’s degree in Computer Science or related field from an accredited U.S. institution
2 years of experience in Machine Learning or Software Engineering
Expert-level proficiency in Python and familiarity with deep learning frameworks such as PyTorch
Strong foundation in machine learning algorithms, data preprocessing, and evaluation techniques
Demonstrated experience working with diffusion models, stable diffusion, or large language models (LLMs)
Excellent analytical, problem-solving, and debugging skills
Strong communication and documentation skills with the ability to explain complex concepts clearly
Ability to work independently in a fast-paced, iterative development environment
Prior work experience at client or in client's Industry
Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
Experience with distributed computing environments
Familiarity with end-to-end data pipelines and scalable data solutions
Experience in building and enhancing internal tools, libraries, and automation workflows
Day-to-Day Responsibilities
Design and implement LLM-driven synthetic data pipelines using Gen AI techniques to create high-volume, high-quality synthetic data for model training and testing.
Design, implement, and deploy machine learning models with a focus on generative AI, including diffusion models and LLMs.
Fine-tune, evaluate, and optimize large language models for specific downstream tasks and data needs.
Develop and maintain scalable data pipelines supporting training, evaluation, and inference workflows.
Conduct exploratory data analysis to surface insights and identify opportunities for model or data improvement.
Partner cross-functionally with researchers, engineers, and data program managers to define requirements and deliver high-impact ML solutions.
Company Benefits & Culture
Comprehensive health insurance plans
Competitive salary and performance bonuses
Opportunities for continuous learning and professional development
For immediate consideration please click APPLY to begin the screening process with Alex
Compétences linguistiques
- English
Avis aux utilisateurs
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