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TensorOps

Mid-Level AI/ML Engineer

TensorOps
Portugal · Full-time · Not Applicable
Build the Next Generation of AI Products with TensorOps

TensorOps is an applied-machine-learning studio that helps organisations across Europe and North America design, train, and deploy production-grade GenAI systems. Our team blends research depth with pragmatic engineering, and we’re looking for experienced engineers to help us build and scale our solutions.

What We’re Working On

  • Conversational copilots that assist knowledge workers
  • Autonomous research agents for market-leading platforms
  • Decision-support tools for healthcare, finance, and e-commerce

Core Stack

  • Python, FastAPI, Docker
  • TensorFlow, LightGBM, CatBoost
  • Open-source & commercial LLMs
  • LangChain / LangGraph, Langfuse, MCP
  • MLFlow, Kubeflow
  • AWS and GCP

The Role

As a Mid-Level Machine Learning Engineer, you will be a key contributor to our project teams, taking ownership of core components and shipping robust AI/ML systems.

You will:

  • Design, build, and maintain production-grade ML systems, from data ingestion and processing to model deployment and monitoring.
  • Develop and fine-tune generative AI models, including LLMs, for specialized tasks. You'll move beyond prototyping to build robust, scalable solutions.
  • Architect and implement reliable data pipelines and low-latency inference services using our core stack (FastAPI, Docker, Kubeflow, AWS/GCP).
  • Collaborate with senior engineers, researchers, and client stakeholders to translate business problems into technical solutions and deliver tangible value.
  • Take ownership of key components of our ML platform, ensuring code quality, performance, and scalability.

About You

  • 3+ years of professional experience in a software engineering or machine learning role.
  • Strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn).
  • Hands-on experience building and shipping models using at least one major ML framework.
  • Proven experience with the practical application of Large Language Models (LLMs). Familiarity with frameworks like LangChain/LangGraph and retrieval-augmented generation (RAG) is a significant plus.
  • Solid understanding of software engineering best practices, including version control (Git), testing, CI/CD, and containerization (Docker).
  • A BSc/MS in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Why TensorOps

    • High-Impact Projects: Work on challenging, real-world problems for industry-leading clients, seeing your work move from concept to production.
    • Expert Collaboration: Join a team of experienced ML engineers and researchers. We foster a culture of deep collaboration and knowledge sharing.
    • Career Growth & Ownership: We offer competitive compensation and provide clear paths for career progression. Take ownership of critical systems and grow into a senior role.

Key Skills

Ranked by relevance

machine learning fastapi ai containerization prototyping kubeflow python docker pandas numpy cicd git
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Country Guide

Portugal

Startup-friendly with strong expat appeal

Posted
Jul 16, 2025
Type
Full-time
Level
Not Applicable
Location
Portugal
Company
TensorOps

Industries

Construction

Categories

Engineering

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