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Cloud machine learning engineer - emea remote

Almada
Jobgether
Anunciada dia 5 junho
Descrição

OverviewThis position is posted by Jobgether on behalf of a partner company.
We are currently looking for a Cloud Machine Learning Engineer in EMEA.
We are seeking a talented Cloud Machine Learning Engineer to build large-scale, production-ready ML solutions that empower millions of users globally.
You will play a key role in integrating advanced open-source AI libraries with major cloud platforms, optimizing performance, and enhancing developer experiences.
Working in a highly collaborative and innovative environment, you/'ll help design and deploy cutting-edge tools that make AI more accessible and efficient for developers and enterprises alike.
This is a fully remote role within a diverse, mission-driven, and fast-evolving ecosystem.ResponsibilitiesDevelop, integrate, and optimize machine learning solutions on major cloud platforms (AWS, Azure, GCP)Bridge advanced AI frameworks with cloud infrastructure to deliver performant, secure, and scalable systemsDesign, build, and maintain developer-friendly APIs, SDKs, and cloud-native services for model deploymentContribute to and extend open-source machine learning libraries, ensuring top performance and usabilityCreate comprehensive documentation, tutorials, and notebooks to support developers and usersCollaborate with cloud partners, engineering, and product teams to align features and drive innovationEngage with the broader AI and open-source community by sharing results, insights, and best practicesRequirementsProven experience in deploying and maintaining ML systems in production using cloud platforms such as AWS, Azure, or GCPExpertise with deep learning frameworks, preferably PyTorch, and familiarity with tools such as Transformers, Diffusers, Accelerate, or PEFTStrong understanding of MLOps practices, including containerization (Docker) and orchestration (Kubernetes)Experience in building scalable APIs and cloud integrations, ensuring reliability and ease of useKnowledge of cloud services like SageMaker, EC2, S3, CloudWatch, or their equivalentsFamiliarity with programming languages such as Python, TypeScript, Rust, and databases like MongoDBAbility to write clear technical documentation and examples for developer-facing toolsBonus: experience with web technologies such as Svelte or TailwindCSSExcellent communication and teamwork skills, with a passion for open-source collaboration and community engagementBenefitsCompetitive salary in USD or EUR, based on experienceEquity options — become a stakeholder in a rapidly growing AI ecosystemFully remote position with flexible working hoursComprehensive health, dental, and vision insurance for employees and dependentsGenerous parental leave and flexible paid time offAnnual learning and conference reimbursement for professional developmentOpportunities to visit global offices and collaborate with world-class AI expertsA diverse, inclusive, and supportive work environment fostering innovation and personal growthAbout applyingJobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job/'s key requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
When necessary, our human team may conduct an additional manual review to ensure no strong profile is overlooked.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening.
The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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