GenAI Engineer 100% Remote **NO H1B Candidates** REST ALL CAN APPLY ** Only W2 Candidates ... Strong foundation in AI, deep learning, and machine learning principles. Programming Skills:
GenAI Engineer 100% Remote **NO H1B Candidates** REST ALL CAN APPLY ** Only W2 Candidates ... Strong foundation in AI, deep learning, and machine learning principles. Programming Skills:
Software Developer
Carolina Beach, NC ยท On-site +1
Remote Option Available OSS / BSS Domain Important
Software Developer
Carolina Beach, NC ยท On-site +1
Remote Option Available OSS / BSS Domain Important
Remote Machine Learning information
See Wilmington, NC salary details
$23.8K - $29.1K
5% of jobs
$30.8K is the 25th percentile. Wages below this are outliers.
$29.1K - $34.4K
59% of jobs
$34.4K - $39.6K
9% of jobs
$40.1K is the 75th percentile. Wages above this are outliers.
$39.6K - $44.9K
17% of jobs
$44.9K - $50.2K
4% of jobs
$50.2K - $55.5K
2% of jobs
$55.5K - $60.8K
3% of jobs
$60.8K - $66.1K
0% of jobs
$66.1K - $71.4K
0% of jobs
$71.4K - $76.7K
0% of jobs
$76.7K - $82K
0% of jobs
$23.8K
$39.7K
$82K
How much do remote machine learning jobs pay per year?
What engineer makes $500,000 a year?
What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?
How to make 2000 a week working from home?
What Are Remote Machine Learning Jobs?
Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.
What is a remote machine learning job?
What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?
What is the difference between Remote Machine Learning vs Data Scientist?
| Aspect | Remote Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML certifications | Bachelor's/Master's in CS, Statistics, or related field |
| Work Environment | Remote, collaborative teams, tech companies | Remote or on-site, diverse industries, analytics focus |
| Industry Usage | Tech, AI startups, research | Finance, healthcare, e-commerce, tech |
| Search & Comparison Intent | Often compared for technical roles in AI/ML | Broader data analysis roles, but overlapping skills |
Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.
Are there remote machine learning jobs?
Will MLE be replaced by AI?

Contractor
Re-posted 16 days ago
Job description
I hope this message finds you well.
I'm reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I'd love to connect and share more details.
GenAI Engineer
100% Remote
**NO H1B Candidates** REST ALL CAN APPLY **
Only W2 Candidates
Experience - 10+ Years
Job description:-
Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,
AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.
Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch.
Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.
Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.
Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.
Best regards,