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TensorOps

TensorOps

TensorOps is a Europe-based AI consulting firm specializing in the development and implementation of AI systems across diverse industries.

11-50 employees
Artificial Intelligence (AI)
Private Company
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Artificial Intelligence (AI)Software

Open Positions2

100% Remote Work: no mandatory office daysWork from whereverFull-TimeAI consultingPosted
Mid AI Engineer
  • Design, build, and deploy production ML and LLM-based systems, including RAG, agentic workflows, fine-tuning, and embeddings.
  • Own technical delivery from architecture and prototyping through deployment, monitoring, and iteration.
  • Work with client engineering and product teams to translate business needs into scoped technical solutions.
  • Mentor and support ML engineers through code reviews, technical guidance, and knowledge sharing.
  • Help shape internal best practices, tooling, and technical standards.
  • Represent TensorOps in client conversations and workshops, and optionally at industry conferences.
PythonMachine LearningPyTorch+6 more
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Overview

TensorOps is an AI consulting firm that develops and implements AI systems for enterprise clients, including Fortune 500 companies and NASDAQ-listed organizations. The company's services include AI strategy development, employee training, agent workforce creation, LLM training, and an innovation lab for rapid prototyping. TensorOps offers an AI/ML Assessment Program, AI Strategy Workshop, Team Augmentation Services, AI/ML Project Enablement, Generative AI Chatbots and Agents, and an LLM Studio and Cost Optimization Workshop. The company has deployed AI systems impacting over 200 million end-users daily and partners with Google Cloud, AWS, Cloudflare, and OpenAI.

Culture

  • Operates as a 100% remote company by design
  • No mandatory office days
  • Emphasizes autonomy, open communication, and continuous learning

Technology Story

TensorOps utilizes Python, FastAPI, Docker, TensorFlow, LightGBM, and CatBoost. They work with open-source and commercial LLMs, LangChain/LangGraph, Langfuse, LlamaIndex, MLFlow, and Kubeflow. The company deploys and scales ML systems on AWS and GCP. Job roles require experience in designing, building, and deploying production ML and LLM-based systems, including RAG, agentic workflows, fine-tuning, and embeddings.

Why Work Here

  • 100% remote work with no mandatory office days
  • Performance is evaluated based on deliverables
  • Opportunities to work on ML and GenAI solutions across diverse industries
  • Opportunities to collaborate with international organizations

Benefits and Perks

  • Fully funded AWS and GCP professional certifications
  • Urban Sports Club Membership
  • Monthly Bolt credits for rides
  • Company events and offsites
  • Sponsorship for employees to speak at international technology conferences

Tech Stack

mxframeworkmobileanalytics