Cloud Machine Learning Engineer - EMEA remote at Jobgether

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Platforms, Machine Learning, APIs, SDKs, Open-Source Libraries, MLOps, Docker, Kubernetes, Python, TypeScript, Rust, MongoDB, Deep Learning, AI Frameworks, Cloud Services, Technical Documentation

Industry

Internet Marketplace Platforms

Description

This 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. Accountabilities: Develop, 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 systems. Design, build, and maintain developer-friendly APIs, SDKs, and cloud-native services for model deployment. Contribute to and extend open-source machine learning libraries, ensuring top performance and usability. Create comprehensive documentation, tutorials, and notebooks to support developers and users. Collaborate with cloud partners, engineering, and product teams to align features and drive innovation. Engage with the broader AI and open-source community by sharing results, insights, and best practices. Proven experience in deploying and maintaining ML systems in production using cloud platforms such as AWS, Azure, or GCP. Expertise with deep learning frameworks, preferably PyTorch, and familiarity with tools such as Transformers, Diffusers, Accelerate, or PEFT. Strong understanding of MLOps practices, including containerization (Docker) and orchestration (Kubernetes). Experience in building scalable APIs and cloud integrations, ensuring reliability and ease of use. Knowledge of cloud services like SageMaker, EC2, S3, CloudWatch, or their equivalents. Familiarity with programming languages such as Python, TypeScript, Rust, and databases like MongoDB. Ability to write clear technical documentation and examples for developer-facing tools. Bonus: experience with web technologies such as Svelte or TailwindCSS. Excellent communication and teamwork skills, with a passion for open-source collaboration and community engagement. Competitive salary in USD or EUR, based on experience. Equity options — become a stakeholder in a rapidly growing AI ecosystem. Fully remote position with flexible working hours. Comprehensive health, dental, and vision insurance for employees and dependents. Generous parental leave and flexible paid time off. Annual learning and conference reimbursement for professional development. Opportunities to visit global offices and collaborate with world-class AI experts. A diverse, inclusive, and supportive work environment fostering innovation and personal growth. Jobgether 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! #LI-CL1

Responsibilities

Develop and optimize machine learning solutions on major cloud platforms while integrating advanced AI frameworks. Collaborate with teams to design and deploy tools that enhance developer experiences and accessibility of AI.