Senior AI Engineer Contract Job in United States

Publicado en CazViden Roman Wang

Apply for the Senior AI Engineer contract role at Roman Wang in the US. Develop AI models, use Python, TensorFlow, and NLP to build innovative AI solutions.

Verificado por CazVidhace 6 semanasVigente hasta: 14 sep 2026

Salario

USD 120,000 per year

Ubicación

United States

Tipo de empleo

Contrato

Modalidad

Remoto

Senior AI Engineer Contract Job in United States

USD 120,000 per year

Postularme

Descripción del empleo

Roman Wang is seeking a skilled Senior AI Engineer for a contract role based in the United States. This position offers a unique opportunity to work in the fast-evolving field of artificial intelligence, creating impactful AI solutions that leverage advanced technologies. Key Responsibilities Design and develop machine learning models and algorithms to address real-world challenges. Utilize Python programming for robust data manipulation and analysis, ensuring data integrity and quality. Implement deep learning frameworks such as TensorFlow and PyTorch to enhance AI system capabilities. Conduct comprehensive data analysis to extract insights and optimize model performance. Apply natural language processing techniques to build applications that understand and generate human language. Collaborate effectively with cross-functional teams to integrate AI functionalities into existing systems and projects. Measure and evaluate AI implementation success using relevant metrics and data analysis. Required and Preferred Qualifications Bachelor's degree in Computer Science or a related field. Proficiency in machine learning, data analysis, and Python programming. Experience with deep learning frameworks such as TensorFlow and PyTorch. Strong understanding of natural language processing. Relevant AI or machine learning certifications are preferred. A minimum of 5 years of relevant experience is required. The ideal candidate will foster innovation and collaboration across teams, contributing to diverse AI projects and continuous learning.

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