Senior ML Engineer – Remote, Production GenAI Systems

TensorOps Consulting Services Ltd; Portugal; Remote; EUR 60,000 - 85,000; Full time

Benefits offered by this job

100% Remote Work

Funded certifications: AWS and GCP

Dynamic, High-Impact Projects

International Clients

Urban Sports Club Membership

Monthly Bolt Credits

Company Events & Offsites

Job summary

TensorOps Consulting Services Ltd is seeking a Mid/Senior ML Engineer to guide technical direction across client engagements and mentor junior ML engineers. You will work with clients to move AI systems from prototype to production-grade deployment.

Key responsibilities include designing and deploying ML/LLM systems, working with client teams to translate needs into deliverables, and shaping internal best practices as the team grows. Remote-friendly role with global clients.

Qualifications

• 2+ years in ML/AI engineering or related role (Mid-level) / 5+ years for Senior.
• Strong hands-on Python, writing clean, production-quality code.
• Experience designing, training, optimizing, deploying ML models (PyTorch, TensorFlow, Scikit-learn).
• Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and 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 debugging and stakeholder management skills.

Responsibilities

• Design, build, and deploy production ML and LLM-based systems 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.

Skills

Python

GenAI

LLM systems

LangChain

MLOps

AWS

GCP

Azure

Tools

PyTorch

TensorFlow

Scikit-learn

Job description

TensorOps Consulting Services Ltd is seeking a Mid/Senior ML Engineer to guide technical direction across client engagements and mentor junior ML engineers. You will work with clients to move AI systems from prototype to production-grade deployment.

Key responsibilities include designing and deploying ML/LLM systems, working with client teams to translate needs into deliverables, and shaping internal best practices as the team grows. Remote-friendly role with global clients.