Remote Machine Learning Engineers

Are you a talented Data Scientist (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer, LLM Engineer) either,

• Looking for your next big challenge working remotely OR
• Employed, but open to offers from elite US companies to work remotely?

Submit your resume to our GlobalPros.ai’s, an exclusive community of the world’s top pre-vetted developers dedicated to precisely matching you with our US employers.

Globlpros.ai is followed internationally by over 13,000 employers, agencies and the world’s top developers.

We are currently searching for a full-time AI/ML developer (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer) to work remotely for our US employer clients.

What We Offer:

• Competitive Compensation. Compensation is negotiable and commensurate with your experience and expertise.
• Pre-vetting so you’re 2x more likely to be hired. Recent studies by Indeed and LinkedIn show pre-vetted candidates like you are twice as likely to be hired.
• Shortlist competitive advantage. Our machine learning technology matches you precisely to job requirements and because your pre-vetted ensures you’re shortlisted ahead of other candidates.
• Personalized career support. Free one-on-one career counseling and interview prep to help guarantee you succeed.
• Anonymity. If you’re employed but open to offers, your profile is anonymous and is not available on our website or otherwise online. When matched with our clients, your profile is anonymous until you agree to be interviewed. So there’s no risk in submitting your resume now.

We’re Looking For:

• Experience. Must have at least 3 years of experience.
• Role . AI/ML developer (includes AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer)
• Skills. TensorFlow, PyTorch, Scikit-learn Python, Java, C++, R, AWS, Azure, GCP, (SQL, NoSQL, Hadoop, Spark, Docker, Kubernetes, AWS Redshift, Google BigQuery.
• Willing to work full-time. (40 hours per week) .
• Available for an hour of assessment testing. Being deeply-vetted with a data enhanced resume and matched precisely by our machine learning algorithms substantially increases the probability of being hired quickly, at higher compensation levels over unvetted candidates. It’s your substantial competitive advantage in a crowded job market.