Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- Deploy and monitor ML/LLM pipelines for Fortune Global 500 clients. Work on generative AI and model parallelism at a leading EU quantum software company.
Responsibilities
- Deploy cutting-edge ML/LLMs models to Fortune Global 500 clients
- Design, develop, and implement ML and LLM pipelines including data acquisition, preprocessing, model training, tuning, deployment, and monitoring
- Employ automation tools such as GitOps, CI/CD pipelines, Docker, and Kubernetes to enhance ML/LLM lifecycle
- Establish and maintain monitoring and alerting systems to track LLM performance and detect data drift
- Conduct truth analysis to evaluate LLM outputs against accurate data
- Collaborate with Product, DevOps teams, and Generative AI researchers to optimize model performance and resource utilization
- Manage and maintain cloud infrastructure (AWS, Azure) for LLM workloads ensuring cost-efficiency and scalability
- Stay updated with ML/LLM Ops developments and integrate advancements into generative AI platforms
- Communicate LLM performance and status to technical and non-technical stakeholders
Requirements
- Bachelor's or master's degree in computer science, Engineering, or a related field
- Mid or Senior: 4+ years of experience as an ML/LLM engineer in public cloud platforms
- Proven experience in MLOps, LLMOps, or related roles managing ML/LLM pipelines from development to deployment and monitoring
- Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads, MLOps, DevOps, or Data Engineering
- Expertise in model parallelism in model training and serving, and data parallelism/hyperparameter tuning
- Proficiency in Python
- Experience with distributed computing tools such as Ray
- Experience with model parallelism frameworks such as DeepSpeed, Fully Sharded Data Parallel (FSDP), or Megatron LM
- Expertise with generative AI applications (content creation, data augmentation, style transfer)
- Strong understanding of Generative AI architectures and methods (chunking, vectorization, context-based retrieval/search)
- Experience working with Large Language Models like OpenAI GPT-3.5/4.0, Llama2, Llama3, Mistral
- Experience with Azure Machine Learning, Azure Kubernetes Service, Azure CycleCloud, Azure Managed Lustre
- Excellent English; Spanish is a plus
- Great communication skills and ability to work collaboratively in an international environment
- Preferred: experience training Mixture-of-Experts, working with multiple public clouds/hybrid environments, real-time streaming, training/inference optimization, LLM observability and API management
Benefits
- Competitive annual salary starting from €55,000
- Signing bonus at incorporation
- Retention bonus at contract completion
- Relocation package (if applicable)
- Hybrid role and flexible working hours
- Up to 9-month contract (ending June 2026)
- Equal pay guaranteed
- International exposure in a multicultural environment
- Working at a fast-scaling Series B deep-tech company
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
MLOps Engineer working on ML processes and robust workflows at Kensho. Collaborating with engineers to enhance tooling, services, and frameworks for machine learning.
Intern working on avionics hardware and software for Blue Origin. Gaining hands - on experience while contributing to space development projects.
Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
Senior Scientist II leading innovative AI and machine learning projects in oncology at Tempus. Collaborating with teams to advance predictive modeling and drug R&D initiatives.
Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.