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We also develop state-of-the-art generative AI technologies based on Large Language Models to power ... with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX ...
New
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New
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Quick apply
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... Experience with Python * Computer Vision or NLP experience * Experience debugging complex systems ...
... based on predictive finite element simulations and important design load cases. The machine ... in Python and relevant packages for MLOutstanding communication skillsPassion for creating ...
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Home Based Python Machine Learning information
What is the difference between Home Based Python Machine Learning vs Data Analyst?
| Aspect | Home Based Python Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Python programming, machine learning certifications, data analysis skills | Data analysis certifications, SQL, Excel, Python or R knowledge |
| Work Environment | Remote, home-based, often project-focused | Remote or on-site, business or client-focused |
| Industry Usage | Tech, finance, healthcare, e-commerce | Business, marketing, finance, healthcare |
| Common Search/Comparison | Yes | Yes |
Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.
- Machine Learning Engineer Biotech
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- Senior Machine Learning Engineer Biotech
- Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Entry Level Machine Learning Engineer
- Senior Machine Learning Researcher
Full-time
Posted 12 days ago
Job description
Responsibilities
• Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
• Work closely with Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or PhD in a quantitative field ( e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
About Intelliswift
Sourced by ZipRecruiter
Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Newark, CA, US
Year founded
2001