Senior AI Engineer - Production ML & Mentorship (Remote)

TensorOps Consulting Services Ltd; España; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Remote work

Certifications funded

Dynamic, high-impact projects

International clients

Wellbeing benefits

Bolt credits

Team events

Job summary

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

You’ll design, build, and deploy production ML and LLM-based solutions, own end-to-end delivery, and collaborate with client teams to translate business needs into scalable tech. Join a fast-growing, autonomous team.

Qualifications

• 2+ years in ML/AI engineering (Mid) or 5+ years (Senior).
• Strong Python, production-quality code writing.
• Experience designing, training, optimizing and deploying ML models end-to-end.

Responsibilities

• Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, embeddings).
• Own technical delivery end-to-end from architecture to deployment and monitoring.
• Translate business needs with client engineering and product teams into scoped, shippable solutions.
• Mentor and support other ML engineers with code reviews and guidance.
• Shape internal best practices, tooling, and standards as the team grows.
• Represent TensorOps technically in client conversations and workshops.

Skills

Python

ML engineering

GenAI/LLM systems

CI/CD for ML

Client collaboration

Tools

PyTorch

TensorFlow

Scikit-learn

LangChain

AWS

GCP

Azure

Job description

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

You’ll design, build, and deploy production ML and LLM-based solutions, own end-to-end delivery, and collaborate with client teams to translate business needs into scalable tech. Join a fast-growing, autonomous team.