> Markdown version of [/jobs/ext/2027888-ml-solution-architect-early-talent](https://www.wearedevelopers.com/jobs/ext/2027888-ml-solution-architect-early-talent). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Solution Architect (Early Talent) - **Company:** LC Manufacturing, LLC - **Location:** United States (Remote available) - **Salary:** $212,160.0 - $262,080.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, DevOps, High-Level Architecture, Python (Programming Language), Open Source Technology, Tensorflow, Azure Machine Learning, SAS (Software), Web Application Frameworks, Flask (Web Framework), Large Language Models, Prompt Engineering, Model Validation, Caching, Git, Fastapi, Kubernetes, Optimization Algorithms, Machine Learning Operations, TensorRT, Docker, Programming Languages - **Published:** August 11, 2026 - **Apply:** https://careers.nebius.com/?gh_jid=4883829101 ## About the Role Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist, * Currently pursuing or recently completed a BSc/MSc/PhD in Computer Science, Machine Learning, or a related field. * Strong Python programming skills. * Hands-on generative AI experience, including with common ML frameworks (e.g., PyTorch, Transformers). * Strong communication skills, with a willingness to explain technical concepts to diverse audiences. Nice-to-haves: * Experience deploying/serving LLMs with vLLM, SGLang, or TensorRT-LLM. * Familiarity with inference optimization techniques such as quantization, batching, caching, and routing. * Knowledge of model architectures and fine-tuning approaches. * Contributions to open-source ML/AI projects. Preferred technical stack: * Programming Languages - Python. * ML Frameworks and Libraries - vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs. * Frameworks for Agentic Pipelines - Langchain / Langsmith / smolagents / equivalent. * API and Web Frameworks - FastAPI, Flask. * MLOps and DevOps tools - Kubernetes (K8s), Docker, Git. * Cloud Platforms - AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)., Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. ## Description We're looking for an ML Solutions Architect (Early Career) to join the team behind Nebius Token Factory's serverless inference and fine-tuning platform for open-source LLMs. Working alongside senior Solutions Architects, you'll take on real technical work - building and testing LLM-based solutions, benchmarking, and inference optimization - and learn how scalable AI applications are built and tuned on our platform, in close collaboration with our backend team., * Help build and test LLM-based solutions and applications using Token Factory's inference services, including multimodal models (text, vision, audio). * Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization. * Run performance and quality experiments to support proof-of-concept work. * Contribute to internal tooling and automation that improves how the SA team delivers. ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Got AI ideas but no money? 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