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Full Time Ai Computer Science Jobs (NOW HIRING)

Adobe, Inc.

Computer Scientist

San Jose, CA · On-site

M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your ...

Adobe

Computer Scientist

San Jose, CA

M.S., or PhD degree in Computer Science or a related field. * Experience with computer vision, computational photography, and/or modern AI applied to these fields. * An interest in applying your ...

Asurion

REQUIRED EDUCATION & EXPERIENCE Advanced degree in Computer Science, AI, Machine Learning, Statistics, or related field, or equivalent experience. 12+ years leading applied AI, machine learning, or ...

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Full Time Ai Computer Science information

What is a full time AI computer science job?

A Full Time AI Computer Science job typically involves working as a professional in the field of artificial intelligence, applying computer science principles to develop, implement, and optimize AI systems and solutions. Responsibilities may include designing machine learning models, analyzing data, programming algorithms, and collaborating with other engineers and data scientists. These roles are usually found in technology companies, research institutions, and industries adopting AI to enhance products or services, and require a strong background in computer science, mathematics, and programming languages such as Python or Java.

What are the key skills and qualifications needed to thrive as a full time AI computer scientist?

To thrive as a Full-Time AI Computer Scientist, you need strong programming skills (Python, C++), a solid background in mathematics and statistics, and at least a bachelor's or master's degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Machine Learning are typically required. Critical thinking, problem-solving, and effective teamwork help set top professionals apart in this field. These skills are crucial for designing, implementing, and optimizing AI solutions that solve complex real-world problems.

What are some common challenges faced by professionals in a full time AI computer science role, and how can they be addressed?

Professionals in full-time AI computer science roles often encounter challenges such as staying current with rapidly evolving technologies, managing large datasets, and effectively translating business needs into technical solutions. Keeping up with the latest research papers, tools, and frameworks is essential but can be time-consuming. Collaborating closely with cross-functional teams and participating in knowledge-sharing sessions can help bridge gaps and foster innovation. Additionally, leveraging mentorship and continuous learning opportunities within the organization can support career growth and help tackle complex problems more efficiently.

What is the difference between Full Time Ai Computer Science vs Data Scientist?

AspectFull Time Ai Computer ScienceData Scientist
Required CredentialsBachelor's or higher in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or higher in Data Science, Statistics, or related fields; certifications in Data Analysis or ML
Work EnvironmentTech companies, research labs, AI-focused teamsBusiness, finance, healthcare, tech firms analyzing data
Employer & Industry UsagePrimarily in AI development, machine learning projectsData analysis, predictive modeling, business insights

Full Time Ai Computer Science roles focus on developing AI algorithms and systems, often requiring strong programming and machine learning skills. Data Scientists analyze data to extract insights, using statistical and analytical tools. While both roles involve machine learning, AI Computer Science emphasizes building AI models, whereas Data Scientists focus on interpreting data for decision-making.

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Full Time Ai Computer Science jobs near you
Infographic showing various Full Time Ai Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Kaspar Companies: AI Specialist

Kaspar Companies

Shiner, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

Description:

Kaspar Companies

Job Description: AI Specialist

Do you enjoy leading problem-solving efforts to ensure systems run smoothly and securely?
Are you passionate about aligning technology with business strategy?
Does working for a family-centric company with deep roots appeal to you?
Do the values of stewardship, versatility, and family resonate strongly with you?
Do you find the improvement of people’s lives through stewardship of God-given resources inspiring?
Then Kaspar Companies is right for you!

Job Summary

Kaspar Companies is seeking a full-time AI Specialist to lead our AI-driven initiatives. Based in Shiner, TX, this role is responsible for training AI models, implementing AI solutions, and enhancing manufacturing processes through innovative technologies. This position requires a tech-savvy individual with a blend of IT experience, process improvement capabilities, and a collaborative mindset.


AI Specialist Responsibilities

· Train and refine AI models using complex scenarios; evaluate outputs for accuracy and logic.

· Implement AI solutions to optimize manufacturing processes and improve efficiency.

· Ensure secure and effective operations of AI tools and systems.

· Collaborate with cross-functional teams to transform business workflows.

· Monitor AI performance metrics and identify continuous improvement opportunities.

· Solve technical issues related to AI and propose enhancements.

· Document procedures and AI system processes.

· All other duties as assigned by management.


AI Specialist Skills and Competencies

· Strong problem-solving and analytical skills.

· Excellent verbal and written communication.

· Ability to collaborate with cross-functional teams.

· Self-motivated with strong project management skills.

· Adaptable and driven by innovation.


AI Specialist Qualifications

· Bachelor's degree in Computer Science, Information Technology, or related disciplines.

· IT experience in business process transformation preferred.

· Intermediate knowledge of manufacturing operations.

· Ability to manage multiple initiatives in a dynamic environment.


Work Environment

Typical office setting with occasional facility visits. May require on-call support during emergencies or updates.


Benefits

· Health Insurance

· Vision Insurance

· Dental Insurance

· 401k

· Paid Time Off

· Profit Sharing

· Counseling

Requirements: