Principal AI/ML Architect

TensorOps Consulting Services Ltd; Portugal; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

TensorOps Consulting Services Ltd is seeking a Principal ML Architect for Portugal, a remote role leading client engagements and technical teams on high‑impact GenAI projects.

You will drive strategy, architect cutting‑edge ML systems, and mentor engineers while engaging with executive stakeholders to deliver scalable, production‑ready solutions.

Qualificações

• 8+ years of professional experience in ML and software engineering.
• Significant client-facing and consulting experience essential.
• Proven leadership in engineering teams and project delivery.
• Strong Python data science stack knowledge.
• Deep expertise in LLMs, agentic design patterns, and ML at scale.
• Cloud and MLOps experience; scalable, low-latency designs.

Responsabilidades

• Define technical strategy and architecture for client projects.
• Serve as primary technical contact for client stakeholders.
• Lead and mentor ML engineers toward delivery milestones.
• Innovate with agentic workflows and multi-agent systems.
• Oversee lifecycle from discovery to deployment and monitoring.

Conhecimentos

Client-facing

Leadership

Python

Pandas

NumPy

Scikit-learn

LLMs

LangChain

LangGraph

Langfuse

RAG

Fine-tuning

MLOps

AWS

GCP

Software architecture

Formação académica

PhD/ MSc/ BSc in CS/Engineering

Ferramentas

Docker

FastAPI

TensorFlow

LightGBM

CatBoost

LlamaIndex

LangChain

LangGraph

Langfuse

MLFlow

Kubeflow

AWS

GCP

Descrição da oferta de emprego

Principal ML Architect (Client-Facing, Agentic AI) - Portugal

Location: Portugal (Fully Remote)

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 a seasoned architect to lead our client engagements and technical teams in Portugal.

What We’re Working On

• Conversational Copilots: Intelligent assistants that augment and empower knowledge workers.
• Autonomous Agentic Systems: Sophisticated agents that perform complex research, analysis, and actions for market-leading platforms.
• High-Performance Search & Recommendation: Building large-scale, low-latency recommender systems, ad-tech platforms, and search solutions.
• Decision-Support Tools: High-stakes systems for critical applications in healthcare, finance, and e-commerce.

Core Stack

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

The Role

As a Principal ML Architect, you will be the senior technical leader for our most ambitious client projects. You will act as a trusted advisor to clients, a mentor to your engineering team, and the chief architect for complex AI systems. This is a hands‑on leadership role that combines deep technical expertise with strategic client management.

You will:

• Lead Technical Strategy & Architecture: Partner with clients to understand their core business challenges and design sophisticated, scalable solutions leveraging machine learning, search, and agentic AI paradigms.
• Manage Client Engagements: Serve as the primary technical point of contact for client stakeholders, translating complex concepts, managing expectations, and ensuring project success from a technical and business perspective.
• Lead & Mentor Engineering Teams: Guide a team of talented ML engineers, fostering a culture of excellence, providing technical direction, and taking ultimate responsibility for project delivery.
• Drive Innovation: Move beyond conventional ML to architect and implement cutting‑edge agentic workflows, agent‑based modeling, multi‑agent systems, and complex RAG pipelines that deliver transformative value.
• Oversee the Full Project Lifecycle: Steer projects from initial discovery and architectural design through to deployment, monitoring, and iteration, ensuring solutions are robust, efficient, and production‑ready.

About You

• 8+ years of professional experience in machine learning and software engineering, with a proven track record of architecting and delivering large-scale, production‑grade AI/ML systems.
• Significant client‑facing experience is essential. You are comfortable and effective in a consulting or architectural role, capable of leading technical discussions with C‑level executives and engineering teams alike.
• Proven leadership and project management experience. You have successfully led engineering teams and managed the technical delivery of complex software projects.
• Deep expertise in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn).
• Expert‑level understanding of modern AI systems. You have deep, practical experience with Large Language Models (LLMs), agentic design patterns (e.g., LangChain/LangGraph), and classical ML at scale. You can speak with authority on topics like Learning to Rank (LTR), recommender algorithms, RAG, and fine‑tuning.
• Strong architectural foundation in software engineering, MLOps, and cloud infrastructure (AWS/GCP). You know how to design for scalability, reliability, and low‑latency.
• A BSc/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience that demonstrates your deep expertise.

Why TensorOps?

• Strategic Impact: Define the technical vision for high‑stakes, real‑world problems for industry‑leading clients. Your work will directly shape client success and our company’s reputation.
• Lead Expert Teams: Guide and collaborate with a team of experienced ML engineers and researchers. Shape our engineering culture and mentor the next generation of talent.
• Shape Our Future: As a senior leader, you will play a critical role in the direction of our technical offerings and growth. We offer competitive compensation and a clear path for professional and personal development.