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Home Based Python Machine Learning information
See salary details
$13.22 - $19.86
1% of jobs
$19.86 - $26.51
0% of jobs
$26.51 - $33.15
2% of jobs
$33.15 - $39.79
5% of jobs
$39.79 - $46.44
11% of jobs
$48.39 is the 25th percentile. Wages below this are outliers.
$46.44 - $53.08
18% of jobs
The median wage is $56.55 / hr.
$53.08 - $59.72
24% of jobs
$64.80 is the 75th percentile. Wages above this are outliers.
$59.72 - $66.37
18% of jobs
$66.37 - $73.01
13% of jobs
$73.01 - $79.65
5% of jobs
$79.65 - $86.30
3% of jobs
$13
$58
$86
How much do home based python machine learning jobs pay per hour?
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.
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- Freelance Machine Learning Compiler Engineer
- Junior Machine Learning Compiler Engineer
- Health Machine Learning

Full-time
Re-posted 15 days ago
Job description
Job Location : Chandler, AZ (ONSITE)
Job Type : Full-Time
Job Description:
Python Unix machine learning Support Engineer
Must Have Technical/Functional Skills
Unix, ShellScripting, Python, Machine learning, Production Support
Roles & Responsibilities
• System Configuration: Configuring Unix systems to meet specific requirements and standards.
• Troubleshooting: Identifying and resolving issues with Unix systems and applications.
• Scripting: Automating repetitive tasks using Python scripts.
• Performance Optimization: Analyzing and improving the performance of Unix systems.
• Documentation: Creating and maintaining system documentation and guides.
• Collaboration: Working with other teams and departments to ensure Unix systems are integrated and functional.
• Implement AI workflows using Python, agent frameworks, and orchestration tools
• Develop LLM pipelines including prompt engineering, prompt chaining, memory, tool calling, and multi-agent coordination
• Integrate LLMs with enterprise systems and APIs
• These roles are essential for maintaining the reliability and efficiency of Unix-based systems, and Python skills
can be leveraged to automate and streamline these tasks.
• Designed, developed, and deployed machine learning models using supervised and unsupervised learning
techniques to solve real world business problems.
• Worked with Python ML libraries including Scikit learn, TensorFlow, PyTorch, Pandas, NumPy, and Matplotlib.
• Deployed models using REST APIs, Docker, or cloud platforms (AWS / Azure / GCP) to support production
use cases.
About Centraprise
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Edison, NJ, US
Year founded
2010