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Lead a small team of data scientists and AI engineers to build, deploy, and maintain AI/ML applications for a fintech bank, focusing on MLOps, cloud engineering, and productionising models on Google Cloud.
Senior engineer building scalable data pipelines and infrastructure for a payments data platform that powers analytics, AI models, and consumer payment experiences.
Design and implement ML models for robotic systems in healthcare, focusing on perception, motion planning, and optimization using Python and frameworks like TensorFlow/PyTorch.
Develop AI/ML surrogate models to optimize industrial water and wastewater systems using physics-based simulations and data-driven methods.
Build and refine ML models to optimize robotic systems, including motion planning and perception, using Python and frameworks like TensorFlow/PyTorch.
A junior AI & Data Engineer role focused on learning data engineering, ML fundamentals, and ETL pipelines under mentorship, working on Python/SQL-based projects for AI/ML initiatives.
Build and deploy scalable data pipelines and models in GCP using Python and SQL, manage BigQuery infrastructure, and mentor teams to drive business insights from telco data.
Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
Build and validate ML models for time-series forecasting and analytics, collaborating with engineers to ship production-ready AI solutions.
¡En Ayesa Digital crecemos Contigo! Cada profesional de nuestra empresa es importante para nosotros, nos ayudan a crecer de manera diversa y gracias a ellos somos más de 11.000 personas trabajando con el mismo objetivo…
Build and maintain scalable data pipelines, cloud data platforms, and analytics-ready datasets for a global food-industry project using ETL/ELT, Snowflake/Azure/AWS, and BI tools.
Owns the full ML lifecycle for physical AI, from sensor data pipelines to deploying optimized models on constrained hardware, collaborating with embedded teams to ensure reliability and performance in real-world devices.
Build and deliver transaction-monitoring solutions on the Quantexa platform, designing data pipelines, entity resolution, and analytics to meet AML/fraud use cases for a major bank.
Build and maintain AI/ML models for credit risk and pricing in a fintech lending platform, deploying production systems in Python/AWS and running rigorous A/B tests to validate business impact.
Build and deploy ML models (classification, regression, clustering) for finance, healthcare, and tech clients, then visualize insights and productionize pipelines.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Builds and deploys ML/DL models (classical, deep learning, LLMs) for structured/unstructured data, focusing on MLOps/LLMOps pipelines, model monitoring, and AIOps automation in a telecom/enterprise context.
Builds and maintains cloud-based data pipelines and warehouses on GCP for a telecom giant, enabling analytics and business insights via ETL, SQL, Python, and data governance frameworks while collaborating with data scientists and BI teams.
Lead a data engineering team to design and build scalable experimentation platforms, batch/streaming pipelines, and analytics-ready datasets using Python, Spark, Databricks, Snowflake, and Kafka.
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