Machine Learning Engineer

Employment type : B2BOperating mode : RemoteLocation : We help companies gain a competitive edge by delivering customized AI solutions.

Our mission is to empower our clients to unlock the full potential of AI.We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.What we believe in?

Team Strength – sharing and exchanging knowledge is key to our daily workAccountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible qualityBalance – we value work-life balanceCommitment – we want you to be fully part of the teamOpenness – we don't want you to be locked into one solution, we want to look for alternatives, explore new possibilitiesResponsibilitiesJoin our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing.

We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions.

If you're excited about pushing the boundaries of what's possible with GenAI, we invite you to be part of our team of experts!

Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.Automate and optimize model deployment following MLOps best practices.Engage in the development of cutting-edge Kubernetes-driven infrastructure.Work on system reliability and backend stability, always looking for details to be improved.Share knowledge through talks and workshops (internal and external).

You must haveBachelor's or advanced degree in Computer Science or Engineering.Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.Proven experience (1+ years) in working with cloud (AWS / Azure preferred).

Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).

Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.Strong Python skills and familiarity with other object-oriented languages.Very effective communication skills, both written and verbal.Ability to solve problems and communicate complex ideas effectively.You may haveBasic understanding of machine learning algorithms.Keen interest for Generative AI and Large Language Models (LLMs).

Previous startup experience.We offerOpportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.An opportunity to participate in conferences and workshops.An opportunity to participate in Tech Talks (internal training and seminar sessions).

Remote work options and travel to European headquarters available.Some of our benefitsMedical package.Multisport cards.Lunch provided.Kitchens stocked with fruit and veggies twice a week.Monthly integration budget.Company library (online and offline).

Fun room.

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