ZipRecruiter

Log In

2

Part Time Pytorch Jobs in Berkeley, CA (NOW HIRING)

SLB

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

Full-time or part-time: Full-time Job title: AI Solutions Architect Job Location: 640 W California ... PyTorch). 5-10% domestic and international travel required for internal workshops and project work ...

All JobsPart Time Pytorch JobsPart Time Pytorch Jobs in Berkeley, CA

Part Time Pytorch information

How do part-time PyTorch developers typically collaborate with full-time team members on machine learning projects?

Part-time PyTorch developers often work closely with full-time data scientists, machine learning engineers, and project managers through regular check-ins, code reviews, and collaborative platforms like GitHub or Slack. Clear communication and well-documented code are essential to ensure smooth handoffs and project continuity. It's common to be assigned specific modules or tasks, contributing to larger models, experiments, or data pipelines. Flexibility in scheduling and proactive updates help maintain alignment with the team's goals and deadlines.

What is the difference between Part Time Pytorch vs Part Time Machine Learning Engineer?

AspectPart Time PytorchPart Time Machine Learning Engineer
Required CredentialsKnowledge of Pytorch, basic programming skills, possibly some certifications in AI/MLSimilar; often requires experience with ML frameworks, programming, and relevant certifications
Work EnvironmentRemote or freelance projects, research labs, startupsRemote or onsite, startups, tech companies, research institutions
Industry UsageUsed mainly for deep learning model development and experimentationApplied in deploying ML models, data analysis, and AI product development

Part Time Pytorch roles focus on developing and experimenting with deep learning models using the Pytorch framework, often in research or freelance settings. Part Time Machine Learning Engineer positions involve broader responsibilities, including deploying ML solutions and working across various frameworks. Both roles require similar skills but differ in scope and application.

What are part-time PyTorch jobs?

Part-time PyTorch jobs are positions where employees work fewer hours than a standard full-time schedule and primarily use the PyTorch machine learning library. These jobs may involve developing, training, or deploying deep learning models for tasks such as computer vision, natural language processing, or data analysis. Part-time roles are ideal for students, freelancers, or professionals looking to gain experience with PyTorch while maintaining a flexible work schedule. Typical employers include tech companies, research labs, and startups working on AI projects.

What are the key skills and qualifications needed to thrive as a Part-Time PyTorch Developer, and why are they important?

To thrive as a Part-Time PyTorch Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and hands-on experience with the PyTorch framework. Familiarity with related tools such as NumPy, pandas, Git, and cloud platforms is often required, along with relevant certifications in AI or machine learning being advantageous. Problem-solving abilities, effective communication, and time management are essential soft skills for success in a part-time, often remote, role. These skills ensure you can develop, debug, and deploy machine learning models efficiently while collaborating effectively with teams and managing flexible schedules.
What are the most commonly searched types of Pytorch jobs in Berkeley, CA? The most popular types of Pytorch jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Part Time Pytorch jobs? Cities near Berkeley, CA with the most Part Time Pytorch job openings:
Part Time Pytorch jobs near you

AI Solutions Architect

SLB

Menlo Park, CA • On-site

$228K - $231K/yr

Full-time, Part-time

Posted 12 days ago

Job description

Full-time or part-time: Full-time
Job title: AI Solutions Architect
Job Location: 640 W California Ava, Suite 210, Sunnyvale, CA 94086
Job Description:
Responsible for conducting undirected technology development and tackling open-ended AI/ML problems and questions. Participate in data science, artificial intelligence, machine learning, and industrial analytics, with specific emphasis on modern deep learning methods, foundation models, generative AI, and modern decision science solutions. Work with subject-matter experts, product champions, product managers, and designers to engineer the appropriate system solutions for SLB in the Energy domain. Communicate sophisticated AI concepts to management, clients, and the business community. Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems. Demonstrate advanced working knowledge and experience with data analytics, machine learning algorithms, and optimization methods. Work with software engineers to integrate AI solutions in business workflows. Generate innovative ideas, establish new technology development directions, and shape and execute technical projects. Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Communicate ideas, plans, and results effectively via oral and written reports. Works effectively with peers, management, operations groups, and outside organizations. May participate in the relevant technical reviews and audits of the projects. Review, mentor, and coach junior team members while defining and promoting the use of standards, best practices, and lessons learned. Work across multiple cross-functional teams in high-visibility roles to prototype end-to-end data solutions. Actively disseminate knowledge via Webinars, talks, and tutorials for the technical community within the company.
Minimum Education & Experience Requirements:
Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, or a foreign equivalent plus 3 years post-baccalaureate experience in job offered or any AI/Data Science related job titles.
Applicants must have 3 years of experience in the following: (1) AI and Data Science in the Decision Science and Operations Research space using software implementation technology; (2) Markov decision process; (3) Data Mining for Analytics and Decision Making; (4) LLL based GenAI solution development; (5) Visual LM and Smal LM system development; (6) Modern NLP development in AI; (7) Computational intelligence and non-convex optimization techniques; (8) Time-series Analysis techniques with Statistics and AI; (9) Applied and mathematics statistics; (10) Cloud development tools and working in cloud environments for AI, Data Mining and Large Scale data systems; (11) Optimization Solver tools including CPLEX; and (12) Programing languages for modern AI and Data Science (Python, R, Tensorflow, PyTorch).
5-10% domestic and international travel required for internal workshops and project work sessions, workshops, conferences, and customer presentations.
Telecommuting permitted less than 50% per week within the same geographic location as the assigned Schlumberger office location.
Compensation for role: $228,943-$231,600/year

Apply