• You drive the further development of our scouting platform by designing and implementing features that push the boundaries of what’s possible with AI. • Our software is used by over 130 professional football clubs worldwide — and we are currently expanding into other sports. • Your work directly influences how clubs discover and evaluate talent. • You design and implement AI-powered features that make our platform smarter — from intelligent search and recommendations to automated data enrichment. • You use state-of-the-art AI development tools (Claude Code, etc.) to massively scale your output. • You rapidly build prototypes, evaluate new AI technologies, and assess their potential for our product. • You integrate LLMs, embeddings, and other AI models into our existing infrastructure and build robust data pipelines. • You are fully responsible from the first experiment through production deployment and iterate quickly.

• Diseño, desarrollo y evolución de sistemas de IA generativa (agenticos y RAG) en producción. • Integración de modelos y agentes con plataformas y sistemas de negocio. • Colaboración como referente técnico senior, aportando criterio arquitectónico y buenas prácticas a otros equipos y negocio.

• Design and implement solutions leveraging Generative AI and LLM-based systems • Develop and refine prompts for optimal model performance • Analyze and validate AI outputs to ensure accuracy, fairness, and reliability • Collaborate with cross-functional teams to integrate AI into business workflows • Optimize performance and cost trade-offs in LLM deployments • Contribute to enterprise-scale GenAI initiatives, including RAG architectures and document processing use cases

3 Tasks/ Responsibilities: - Working with Data Science teams to implement Machine Learning models into production - Design, delivery GenAI solutions - Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency - Design, delivery and management of industrialized processing pipelines - Defining and implementing best practices in ML models life cycle and ML operations/LLM operations - Implementing AI /MLOps/LLMOps frameworks and supporting Data Science teams in best practices - Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations - Gathering technical requirements & estimating planned work - Presenting solutions, concepts and results to internal and external clients - Creating technical documentation What We're Looking For: - At least 5+ years of Data engineering experience with last 3 years experience in building Data processing - At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.) - At least 3+ years of experience in production-ready ML-related code development - At least 1+ years of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering) - Practical experience in MLOps/LLMOps tools like AzureML/AzureAI. - - Practical experience with Databricks - Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures - Good understanding of Cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Azure or GCP - Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps - Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar - Experience in designing and implementing data pipelines - Good communication skills - Ability to work in a team and support others - Taking responsibility for tasks and deliverables - Great problem-solving skills and critical thinking - Fluency in written and spoken English. What Will Set You Apart: - Experience in designing, programming ML algorithms, and data processing pipelines using Python - Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps) - Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes. What we offer: - Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. - “Office as an option” model. You can choose to work remotely or in the office, depending on your location. - Flexibility regarding working hours and your preferred form of contract. - Comprehensive online onboarding program with a “Buddy” from day 1. - Cooperation with top-tier engineers and experts. - Unlimited access to the Udemy learning platform from day 1. - Certificate training programs. Lingarians earn 500+ technology certificates yearly. - Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. - Internal Gallup Certified Strengths Coach to support your growth. - Grow as we grow as a company. 76% of our managers are internal promotions. - A diverse, inclusive, and values-driven community. - Autonomy to choose the way you work. We trust your ideas. - Create our community together. Refer your friends to receive bonuses. - Activities to support your well-being and health. - Plenty of opportunities to donate to charities and support the environment. - Modern office equipment. Purchased for you or available to borrow, depending on your location.