Becario de arquitectura e ingeniería colaborando en proyectos de construcción en España. Modelado de edificios en Revit y MEP, además de bocetos e infografías digitales.
About the role
- Senior AI / ML Developer at Tecsys developing next-generation supply chain solutions utilizing AI and ML technologies. Collaborate to provide actionable insights for operational efficiency.
Responsibilities
- You will be the resident AI expert and will work closely with development teams to spearhead the development of features, providing actionable business insights to our customers and end-users, and allowing them to manage their operations more efficiently.
- You will identify, coordinate, and develop Data Science solutions to build predictive/prescriptive models, design AI/ML/agentic solutions that use data pipelines to solve supply chain problems.
- You will also contribute to the design and development of production-grade AI systems, including LLM-powered features, retrieval-augmented generation (RAG) pipelines, and multi-step agent workflows.
- You will help translate experimental AI capabilities into reliable, scalable, and measurable product features.
- Although deploying and governing the end-to-end cycles of solutions is not your primary responsibility, you will help with the process, especially developing tools to assess the efficacy of the models.
Requirements
- You have a graduate degree in Computer Science, or in related disciplines: e.g. Engineering, Physics, Applied Mathematics and Statistics.
- You have proven experience in converting business problems to their mathematical representations to feed AI/ML algorithms.
- You are an expert Pythonista with proven experience in using supervized, unsupervised and semi-supervized Machine Learning solutions.
- You know Statistical Models, Optimization and Mathematical Programming (OR), Meta-heuristics, Deep Reinforcement Learning and how to put them to work to create business value.
- You have hands-on experience designing and implementing modern AI systems, including LLM-based applications, prompt engineering, and retrieval-based systems.
- You understand how to evaluate and monitor AI systems, including defining metrics for accuracy, grounding, and performance over time.
- You are familiar with the Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, etc.).
- You have solid experience in using Cloud-based AI/ML solutions (like AWS, Azure, GC)
- You can clearly communicate technical concepts to cross-functional teams, including management and non-technical stakeholders.
- You have been developing AI/ML based python solutions for at least 5-7 years
- What else could give you an edge?· Experience designing and deploying production AI systems (e.g., APIs, microservices, or agent-based systems)
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LangGraph) and vector databases
- Experience with MLOps practices, including model/version management, evaluation pipelines, and monitoring
- Strong understanding of trade-offs in AI systems (accuracy vs latency vs cost)
- You have a solid background in Supply Chain Management
- Bilingual
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