Full Time

Software Engineer (AI/ML) Infrastructure - San Diego, CA (Onsite Role)

Steneral Consulting
San Diego, CA
???* / year

Job Description

About this kind of role

What a Software Engineer (AI/ML) Infrastructure - San Diego, CA (Onsite Role) usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in Artificial Intelligence and Machine Learning Infrastructure design, develop, and maintain the systems that support AI/ML model development and deployment. This includes building scalable data pipelines, optimizing model performance, and ensuring the reliability of AI-powered applications. They often work on cloud infrastructure, containerization, and automation to streamline the AI/ML lifecycle. They may also collaborate with data scientists and machine learning engineers to integrate models into production systems.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (AWS, Azure, Google Cloud), knowledge of machine learning frameworks (TensorFlow, PyTorch), and familiarity with DevOps practices and tools are commonly required.

Good fit for: Individuals with a strong foundation in software engineering and a passion for enabling cutting-edge AI and machine learning applications are often successful in this role.

Most job openings for the size of the industry in September: professional and business services, 5.5 for every 100 jobs. Fewest: construction, 3.4. Compare industries →

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