Senior ML Engineer — Remote, Production GenAI & RAG

TensorOps; Portugal; Presencial; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% Remote Work

Funded certifications: AWS & GCP

Dynamic, High-Impact Projects

International Clients

Urban Sports Club Membership

Monthly Bolt Credits

Company Events & Offsites

Resumo da oferta

TensorOps is hiring a Mid/Senior ML Engineer to drive production ML and GenAI solutions for enterprise clients. Design, build, and deploy systems using RAG, agentic workflows, and embeddings, collaborating with client teams.

You will own end-to-end delivery from architecture to monitoring, mentor junior ML engineers, and shape internal standards while serving international clients on a 100% remote basis.

Qualificações

• 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior
• 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

Responsabilidades

• 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

Conhecimentos

Python

PyTorch

TensorFlow

Scikit-learn

LangChain

MLOps

CI/CD

AWS

GCP

Azure

Descrição da oferta de emprego

TensorOps is hiring a Mid/Senior ML Engineer to drive production ML and GenAI solutions for enterprise clients. Design, build, and deploy systems using RAG, agentic workflows, and embeddings, collaborating with client teams.

You will own end-to-end delivery from architecture to monitoring, mentor junior ML engineers, and shape internal standards while serving international clients on a 100% remote basis.