AI/ML Specialist Solutions Architect
New
J
JobgetherAI Infrastructure
UK / remote opportunities across EuropeFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3+ years
- Required Skills
- DockerPythonKubernetesMachine LearningPyTorchTensorflowMLOps
Requirements
- 3+ years of experience working with cloud technologies in MLOps engineering, machine learning engineering, solutions architecture, or similar technical roles.
- Strong understanding of machine learning ecosystems, including models, AI use cases, workflows, and supporting tooling.
- Proven experience designing, deploying, and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Hands-on experience with machine learning frameworks such as PyTorch, JAX, TensorFlow, Hugging Face, or similar technologies.
- Strong knowledge of cloud infrastructure, DevOps practices, and modern AI deployment approaches.
- Experience with programming languages such as Python, Go, Java, or C++.
- Familiarity with technologies including Kubernetes, Slurm, Docker, Helm, Git, Terraform, and infrastructure-as-code practices.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience deploying production inference infrastructure or scaling ML pipelines from prototypes to production is considered a strong advantage.
Responsibilities
- Design customer-focused AI and machine learning solutions that maximize business value and align with technical and strategic objectives.
- Act as a trusted technical advisor for customers, helping them successfully adopt and scale AI infrastructure and services.
- Architect and support large-scale AI deployments, including distributed training environments involving multi-node and multi-GPU systems.
- Build strong customer relationships by understanding technical requirements, addressing challenges, and ensuring long-term satisfaction.
- Deliver technical content including presentations, documentation, whitepapers, manuals, and webinars for audiences with different levels of technical expertise.
- Collaborate closely with engineering and product teams to communicate customer feedback, influence priorities, and improve solutions.
- Support customers in moving AI workloads from experimentation and proof-of-concept stages into reliable production environments.
- Stay current with AI/ML technologies, frameworks, and infrastructure trends to provide high-quality technical guidance.
View Full Description & ApplyYou'll be redirected to the employer's site
