Website FullStack Labs
Leading Innovation, Transforming Tomorrow
Be an AI & Machine Learning Guru! (Remote) – Work with Top Tech Companies
Do you dream of using cutting-edge AI to build game-changing tech for Fortune 500s and startups?
FullStack, the Americas’ fastest-growing software consultancy, is looking for a Senior AI Machine Learning Engineer to join our team!
Why FullStack?
- Change the world with AI: Help us build impactful solutions for industry leaders like Uber and GoDaddy.
- Work with the best: Collaborate with talented designers and developers on real-world projects.
- Remote freedom: Enjoy the flexibility of working from anywhere.
- Continuous learning: Grow your skills with ongoing education opportunities.
- Positive and supportive environment: Be part of a team that values its people.
Here’s what you’ll do:
- Choose your path! Work alongside client teams (Team Augmentation) or on
- FullStack product teams (Design & Build).
- Design, develop, and test powerful machine learning algorithms and models.
- Dive deep into data to uncover hidden patterns and trends.
- Build and optimize models for real-world use cases.
- Document everything clearly so your knowledge is shared.
- Troubleshoot any issues that arise during development or deployment.
We’re looking for someone with:
- 5+ years of experience as an AI/Machine Learning Engineer.
- Strong programming skills (Python, R, Java).
- Expertise in machine learning frameworks (TensorFlow, PyTorch).
- Experience with data analysis tools (Pandas, NumPy, Matplotlib).
- Knowledge of Large Language Models (LLMs) and Generative AI (GenAI).
- A knack for statistics and modeling.
- A college degree (Bachelor’s required).
- Excellent English communication skills.
- Experience with Agile/Scrum methodologies.
- A keen eye for detail and a can-do attitude.
- The ability to connect with client goals and deliver exceptional results.
Ready to push the boundaries of AI and make a real impact? Apply Now!
FullStack is an equal opportunity employer and values diversity at our core.
To apply for this job please visit talent.fullstack.com.