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Jobs(27,163)/AI Engineer Role(634)/TensorOps - Mid AI Engineer
TensorOps

TensorOps - Mid AI Engineer

Remote - Europe *2d ago
RemoteMidEMEACloud ComputingArtificial IntelligenceAI EngineerDocumentationPythonTensorFlowPyTorchscikit-learnLangChainMLOpsAWSGCPAzure

Requirements

• 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior • 2+ years • 5+ years • Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code • Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn) • Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain • Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows • Experience deploying and scaling ML systems on AWS, GCP, or Azure • Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency) • Experience working with stakeholders or clients is a plus

Responsibilities

• Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients • Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration • Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions • Mentor and support other ML engineers on the team — code reviews, technical guidance, and knowledge sharing • Help shape internal best practices, tooling, and technical standards as the team grows • Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences • You’ll be part of a supportive, fast-growing team that values autonomy, open communication, and continuous learning.

Benefits

• 100% Remote Work: no mandatory office days, work from wherever • 100% Remote Work • Funded certifications: fully paid AWS and GCP professional certifications • Funded certifications: • Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries • Dynamic, High-Impact Projects • International Clients: Collaborate with global organizations and solve real-world challenges at scale • International Clients • Urban Sports Club Membership: Supporting your physical and mental wellbeing • Urban Sports Club Membership • Monthly Bolt Credits: For rides • Monthly Bolt Credits • Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate • Company Events & Offsites

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