FullStack Labs
We’re Most Proud Of
- Offering life-changing opportunities for talented software professionals across the Americas.
- Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
- Our 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
The Opportunity
Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Machine Learning Engineer.
- You will integrate directly into our client’s team and work alongside their existing designers and engineers on a daily basis.
What We Are Looking For
- 5+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
- Design, develop, and kontrol machine learning algorithms and models.
- Analyze and interpret large amounts of data to identify patterns and trends.
- Implement and optimize models in production environments.
- Develop and maintain documentation on machine learning models and processes.
- Identify and address issues that may arise during development and deployment.
- Strong programming skills in languages such as Python, R, or Java.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with data analysis and visualization tools like Pandas, NumPy, or Matplotlib.
- Knowledge of LLM.
- Familiarity with GenAI.
- Knowledge of statistical modeling and inference techniques.
- Successful completion of a four-year college degree is required.
- Advanced English is required.
- Experience working on Agile/Scrum teams.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- Ability to identify with the goals of FullStack’s clients, and dedicate yourself to delivering on the commitments you and your team make to them.
- Ability to consistently work 40 hours per week.
What We Offer
- Competitive hisse.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- Continuing education opportunities
- Opportunity to grow and expand your career
Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.
Learn more about our Applicants Privacy Notice.