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Consultant - Data Engineer (AI-Enabled Data Engineering)
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Information Technology Consultant (AI Data Engineer (Cloudera to AWS Migration)
Build and migrate AI/ML pipelines from Cloudera to AWS, using Python, PySpark, and AWS services like Sagemaker and Glue to deploy scalable GenAI and ML models.
Data Scientist - AI,ML
Build and deploy AI/ML models (time-series, CV, NLP) to solve business problems, lead end-to-end ML projects, and collaborate with engineers to ship models to production.
Senior Data Engineer
Build and maintain scalable data pipelines, develop ML models, and analyze datasets to extract insights using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
AI Data Engineer (entry level) - SPVL
Entry-level AI Data Engineer builds cloud-native data pipelines and automation for cybersecurity SOC operations using AWS, Python, and IaC tools like Terraform.
Data Engineer - Big Data
Design and maintain scalable data pipelines and cloud infrastructure to power analytics and AI use cases for a global gaming company.
Data Engineer - KT
Design and build scalable cloud-native data pipelines and lakehouse architectures, integrating AI/ML capabilities for a government data platform using Python, Spark, Kafka, and AWS services.
Data Engineer
Design and build scalable cloud data platforms, ETL/ELT pipelines, and lakehouse solutions using Python, Spark, Kafka, and Airflow to support enterprise AI initiatives.
Software Engineer, IPOS
Build and scale digital public-sector services using Java/Python, AWS microservices, and AI coding tools to speed up development and improve quality.
Full Stack Developers (AMK)
Builds and maintains scalable backend services in Go/Python and integrates ML models into production for AI/LLM-powered products, while also developing React-based UIs.
Data Science & Engineering Analyst con discapacidad
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Data Platform Engineer: Innovate, Automate & Scale
Build and automate data pipelines for financial clients, migrating on-prem systems to cloud and implementing DevSecOps practices using Kafka, Spark, Kubernetes, and CI/CD tools.
Data Engineer
Build and automate data pipelines, test frameworks, and monitoring for financial-services clients using cloud/on-prem big-data stacks (Spark, Kafka, Hadoop) and DevOps tooling.
MLOps & AI Platform Engineer
Build and automate scalable MLOps platforms and AI infrastructure, deploying ML pipelines on Kubernetes and cloud-native environments to support data scientists and AI engineers.
AI / ML Engineer
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Ing de Machine Learning Semi Senior
Builds and deploys ML models in Python and PySpark, creates data pipelines, and validates models for production use in client projects.
AWS Data Engineer
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
AWS Cloud Data Engineer
Designs and builds AWS-based data pipelines and feature stores using Python, SQL, and tools like Glue and Sagemaker to support analytics and ML workloads.