Build intelligent solutions for U.S.-based companies. Train models, automate processes, and unlock data insights remotely.
Seniority
Semi-senior
Our client is a unique company that acquires entire teams of talent and IT assets from global organizations, MSPs, and datacenter operators.
Seniority
Seniority
Are you seeking an opportunity to demonstrate your strong analytical and problem-solving skills? Our client is a unique company that acquires entire teams of talent and IT assets from global organizations, MSPs, and datacenter operators.
Apply through our website with your resume.
We’ll get to know you, your skills, and your career goals.
Showcase your experience to match with the best opportunities.
Our team will contact you when we find the perfect job for you.
Once you’re in, we’ll reach out whenever we have an opportunity that matches your profile.
Join BetterPros and connect with top companies abroad. Create your profile, showcase your talent, and receive job offers that match your skills and career goals.
You’ll help U.S. companies develop and deploy intelligent systems that solve real-world problems. Collaborate with data engineers, product teams, and developers to integrate models into production environments.
We’ll match you with a client whose work style aligns with yours. Some professionals prefer fixed hours, like 8 to 5, while others value more flexibility. Either way, the client sets the expectations, and we make sure to connect you with a company that fits your preferred way of working, all from the comfort of your own home.
Programming & Frameworks: Python, TensorFlow, PyTorch, scikit-learn, Keras
Data Handling: Experience working with large datasets and data preprocessing pipelines
Modeling Skills: Ability to build, train, test, and fine-tune supervised and unsupervised models
Cloud AI Tools: Familiarity with AWS SageMaker, Google AI Platform, or Azure Machine Learning
Communication: Ability to explain technical models and outcomes to non-technical stakeholders
A degree in computer science, data science, or a related field is useful, but not essential.
If you’ve built real-world models, worked on open-source projects, or have experience with AI frameworks, that’s just as important.
Certifications from Google Cloud AI, AWS Machine Learning, or DeepLearning.ai can boost your application, but passion, portfolio, and hands-on results often speak louder.
Building and training ML or deep learning models
Cleaning and preparing datasets
Deploying models into production environments
Analyzing model performance and optimizing results
Collaborating with product and engineering teams to integrate AI solutions
Don’t worry! We are always looking for outstanding talent and will keep you in mind for future offers.