About
TensorOps is an applied-machine-learning studio that helps organisations across Europe and North America design, train, and deploy production-grade GenAI systems.
Responsibilities
•Lead technical strategy and architecture by partnering with clients to understand business challenges and designing scalable solutions using machine learning, search, and agentic AI
•Manage client engagements as the primary technical contact, translating complex concepts, managing expectations, and ensuring project success
•Lead and mentor ML engineering teams, provide technical direction, and take responsibility for project delivery
•Architect and implement agentic workflows, agent-based modeling, multi-agent systems, and complex RAG pipelines
•Oversee projects from discovery and architectural design through deployment, monitoring, and iteration
Requirements
•8+ years of professional experience in machine learning and software engineering, including architecting and delivering large-scale, production-grade AI/ML systems
•Significant client-facing experience in a consulting or architectural role, including leading technical discussions with C-level executives and engineering teams
•Proven leadership and project management experience, including leading engineering teams and managing technical delivery of complex software projects
•Deep expertise in Python and its data science ecosystem, including Pandas, NumPy, and Scikit-learn
•Expert-level practical experience with LLMs, agentic design patterns, and classical ML at scale; knowledge of LTR, recommender algorithms, RAG, and fine-tuning
•Strong foundations in software architecture, MLOps, and cloud infrastructure (AWS/GCP), including designing for scalability, reliability, and low latency
•BSc, MS, PhD in Computer Science, Engineering, or a related field, or equivalent practical experience
•English proficiency level must be provided in the application
Conditions
•Location: Portugal
•Competitive compensation; expected gross annual salary in Euros requested in the application
