Machine Learning - Computer Vision
- Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina
- Full-Time
- Remote
- 4,500-5,500 USD / Month
Job Description:
About the Role
Were looking for a Senior Machine Learning Engineer to join a fast-growing startup working at the forefront of AI innovation. Youll be part of a tech-driven environment focused on developing cutting-edge solutions in Deep Learning, Computer Vision, NLP, LLMs, and Recommender Systems. This is a fully remote position for engineers passionate about building state-of-the-art ML solutions the kind of projects others only read about.
What Youll Do
- Lead end-to-end Machine Learning projects, from research to production.
- Design and implement advanced AI architectures and solutions.
- Contribute to research and development in Deep Learning, NLP, and Generative Models.
- Build and optimize object tracking systems on edge devices.
- Develop generative models for image and video applications.
- Explore and apply cutting-edge techniques in NLP and Large Language Models.
- Recommend and implement best practices, tools, and methodologies.
- Collaborate with a highly motivated and talented cross-functional team.
What You Bring
- Proven experience in software development and ML engineering (academic or industry).
- Strong understanding of machine learning algorithms and statistical modeling.
- Hands-on experience in Deep Learning (mandatory).
- Expertise in at least one of the following areas:
- NLP & LLMs
- Computer Vision
- Recommender Systems / Predictive Analytics
- Strong coding skills in Python and familiarity with modern ML frameworks.
- Ability to take ownership of projects and drive them to completion.
- Advanced English communication skills (written and spoken).
Why Join
- Be part of a thriving, fast-paced startup shaping the future of AI.
- Work on challenging, high-impact projects with the latest technologies.
- Collaborate with top-tier professionals passionate about innovation.
- Access to continuous learning and professional growth opportunities.
- Potential to participate in onsite work and R&D initiatives.