Python, Machine Learning, Gen AI Years of experience in each of the must-have skills: 7 Years ... building RAG based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI Years of experience in each of the must-have skills: 7 Years ... building RAG based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Python, Machine Learning, Gen AI • Years of experience in each of the must-have skills: 7+ Years ... building RAG-based solutions. Understanding of Responsible AI (RAI) principles-fairness ...
Machine Learning * Py Spark * Python Machine Learning - algorithms for tasks classification, regression and clustering, PySpark - Processing massive datasets and performing complex data ...
Machine Learning * Py Spark * Python Machine Learning - algorithms for tasks classification, regression and clustering, PySpark - Processing massive datasets and performing complex data ...
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Machine Learning Engineer
Los Angeles, CA · On-site
Write clean, well-documented, and production-quality Python code. * Communicate findings, results ... Duties and responsibilities may change based on business needs. The base salary range for this role ...
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.
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Other
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Job description
Work Location with ZIP: Sunnyvale, CA 94085 (Hybrid)
Technical Hiring Criteria (Must Haves)
Top 3 Required skills:
Python, Machine Learning, Gen AI
Years of experience in each of the must-have skills: 7 Years
Job Description:-
Strong expertise in Python and core Machine Learning techniques, including model development, optimization, and deployment.
Knowledge of LLMs and Generative AI, including fine tuning, prompt engineering, and building RAG based solutions.
Understanding of Responsible AI (RAI) principles-fairness, transparency, privacy, safety-and experience applying them in real projects.
Ability to build scalable ML/AI pipelines and APIs, integrating models into production environments.
Collaborate with cross functional teams to design, evaluate, and deliver AI driven solutions aligned with business and compliance standards.