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Home Based Python Machine Learning Jobs in California

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

... • Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch ... or Machine Learning • Demonstrated experience with detection/segmentation models and achieving ...

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... Experience with Python * Computer Vision or NLP experience * Experience debugging complex systems ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Minimum Requirements In-depth knowledge of Python for high-performance, data-intensive applications.

Senior ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Specific subfields include deep learning, probabilistic and Bayesian methods, few-shot and meta-learning, model-based planning, and imitation learning. • Proficiency with the Python machine ...

Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ...

In-depth knowledge of Python for high-performance, data-intensive applications. * Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow). * Expertise in one or ...

... based on predictive finite element simulations and important design load cases. The machine ... Python and relevant packages for ML Outstanding communication skills Passion for creating ...

Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Preferred Qualifications MS or ...

C/C++, Go, Python, Java Preferred Qualifications Masters or PhD in the area of Computer Science or ... deep learning and GenAI frameworks are desired. Building machine-learned models for search ...

Showing results 21-40

Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

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.

What job categories do people searching Home Based Python Machine Learning jobs in California look for?

The top searched job categories for Home Based Python Machine Learning jobs in California are:

What cities in California are hiring for Home Based Python Machine Learning jobs?

Cities in California with the most Home Based Python Machine Learning job openings:

Machine Learning Engineer

RIT Solutions, Inc.

Fremont, CA • On-site

Full-time

Re-posted 29 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team. The role involves designing, developing, and deploying advanced machine learning solutions to support factory and warehouse operations, while collaborating with cross-functional teams to address operational challenges.
Responsibilities:
• Design, develop, and deploy machine learning models to enhance factory and warehouse operations.
• Partner with cross-functional stakeholders to identify and solve high-impact operational challenges.
• Build and maintain end-to-end machine learning pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring.
• Evaluate and benchmark machine learning models using statistical methodologies to ensure optimal performance and business value.
• Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution for production models.
• Integrate and analyze heterogeneous datasets, including image data, sensor outputs, voice recordings, text, and tabular datasets.
• Write clean, scalable, and maintainable code to translate research concepts into production-ready solutions.
Qualifications:
Required:
• Strong proficiency in Python, particularly for high-performance and data-intensive applications.
• Hands-on experience with at least one modern deep learning framework, such as PyTorch, JAX, or TensorFlow.
• Expertise in one or more of the following domains: Computer Vision, Large Language Models (LLMs), Recommender Systems, Operations Research.
• Solid understanding of statistics and experimental methods for model evaluation and comparison.
• Proven experience deploying, monitoring, and maintaining machine learning solutions in production environments.
• Strong commitment to writing clean, modular, and sustainable code.
Preferred:
• Experience working within manufacturing, industrial automation, logistics, or warehouse environments.
• Familiarity with multi-modal data processing and integration techniques.
• Strong analytical and problem-solving abilities with the capacity to thrive in fast-paced and ambiguous environments.
• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.