We are looking for talents who:
We are a multidisciplinary team passionate about applying AI to real-world problems. Our mission is to rapidly prototype and scale machine learning solutions into robust, production-ready systems. We value curiosity, collaboration, and technical excellence, and we’re looking for someone who shares this vision.
We are seeking an early-career Machine Learning Engineer with industry experience, a passion for rapid prototyping, and strong understanding of scalability best practices. Our team has broad experience across multiple industries, and we thrive on learning, exploring new technology, and applying it to solve impactful, real-world problems. We believe these skills are key to succeeding in the evolving AI landscape, and we want you to share this vision and grow with us as part of a team of like-minded experts.
What We Offer
- Opportunities to grow into larger responsibilities and learn from experienced experts.
- Dynamic projects with real-world impact across industries.
- A culture that values experimentation, technical excellence, and continuous learning.
- The chance to shape how ML is practiced at the company — from tools to mindset.
- A flexible remote/hybrid working model.
Responsabilities:
· Collaborate with teammates and clients in brainstorming sessions, prototyping sprints, and project planning.
· Manage the full lifecycle of ML models, including data prep and analysis, training, deployment, monitoring, and error analysis.
· Design scalable architectures to optimize models for performance, reliability, and cost.
· Spend time keeping up to date with the latest industry advancements to incorporate cutting-edge techniques and tools into projects.
Requirements:
· 2–4 years of experience in machine learning or related areas.
· Strong scripting and prototyping skills (Python preferred).
· Familiarity with MLOps principles (deployment, monitoring, CI/CD).
· Basic software engineering skills (version control, testing, containers).
· Strong communication and teamwork skills.
· Relentless curiosity and eagerness to learn.