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Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The role of Machine Learning Engineer at GlobalPros involves working remotely as part of a community dedicated to connecting top developers with elite US employers.
Responsibilities and impact
Daily tasks include developing AI/ML solutions, collaborating with teams, and participating in assessment testing to enhance hiring chances.
Compensation and benefits
Compensation is negotiable based on experience, with personalized career support and anonymity for currently employed candidates.
Experience and skills
Candidates must have at least 3 years of experience in AI/ML roles and proficiency in tools like TensorFlow, PyTorch, and programming languages such as Python and Java.
Career development
The position offers personalized career counseling and interview preparation to enhance professional growth.
Work environment and culture
The work environment is remote, promoting flexibility and anonymity for candidates currently employed.
Company information
GlobalPros is a community connecting top pre-vetted developers with US employers, followed by over 13,000 employers and agencies.
Team overview
The team consists of AI/ML developers with diverse roles, focusing on collaboration and innovation in machine learning.
Job location and travel
The position is fully remote, allowing candidates to work from anywhere.
Application process
Candidates should submit their resumes to join the GlobalPros community and be matched with US employers.
Unique job features
The job offers a competitive advantage through pre-vetting and machine learning technology that matches candidates to job requirements.
Company overview
GlobalPros is a professional services firm specializing in providing tailored business solutions across industries such as finance, technology, and healthcare. The company generates revenue through consulting, outsourcing, and technology-driven services aimed at optimizing operational efficiency and driving growth for its clients. Founded with a focus on innovation and client-centric strategies, GlobalPros has built a reputation for delivering high-quality, scalable solutions. Candidates should note the company's emphasis on digital transformation and its commitment to sustainability and diversity, which are integral to its corporate culture and strategic goals.
How to land this job
Position your resume to highlight your experience in AI/ML development, showcasing proficiency in tools such as TensorFlow, PyTorch, and programming languages like Python and Java.
Emphasize your experience with cloud services (AWS, Azure, GCP) and data handling technologies (SQL, NoSQL, Hadoop, Spark) as these are critical for the role at GlobalPros.
Apply through multiple platforms, including GlobalPros' corporate site and LinkedIn, to maximize your exposure and chances of landing an interview.
Network on LinkedIn by connecting with professionals in the AI/ML division at GlobalPros, and consider ice breakers like discussing recent industry trends or asking about their experience with specific technologies mentioned in the job description.
Optimize your resume for ATS by incorporating keywords from the job description, such as 'AI/ML developer', 'TensorFlow', and 'full-time', ensuring it passes initial screenings.
Utilize Jennie Johnson's Power Apply feature to streamline your application process, tailoring your resume, finding suitable application channels, and identifying LinkedIn connections to enhance your networking efforts.