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DevOps Engineer
Build and maintain MLOps and DevOps platforms for AI/ML systems on AWS, including Kubernetes, CI/CD, and SageMaker pipelines, while ensuring security and reliability for fintech applications.
AI Architect
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Senior Data Scientist
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Databricks Architect
Design and optimize Databricks-based data platforms for government clients, building secure ETL pipelines, governance frameworks, and API integrations using Mulesoft/Kong.
Lead Data Scientist, Manufacturing & AI
Lead a team to build and deploy AI/ML solutions for predictive maintenance, quality control, and process optimization across multiple manufacturing plants using Azure AI, Databricks, and IIoT data.
Data Scientist
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
DevOps Engineer (Robotics)
Designs and maintains automated CI/CD pipelines, containerized AI/ROS2 workloads, and edge deployment systems for robotics hardware (NVIDIA Jetson) with Kubernetes/Docker, focusing on OTA updates and data pipelines.
Senior Information AI Security Engineer
Designs and implements security controls for AI/ML systems, embedding guardrails against risks like data leakage and model vulnerabilities while guiding engineering teams on secure AI practices.
Platform Engineer
Build and maintain scalable AI/ML platforms on AWS, including SageMaker, Bedrock, and MLOps pipelines, while automating infrastructure with Terraform and Jenkins.
Platform Engineer
Build and maintain scalable AI/ML platforms on AWS, including SageMaker, Bedrock, and MLOps pipelines, while ensuring security, compliance, and high availability for financial-market infrastructure.
AI Engineer Google - Categoria Protetta L.68/99
Designs and builds scalable machine-learning systems on Google Cloud, collaborating with data scientists and engineers to deploy AI solutions and MLOps platforms for enterprise clients.
Senior Machine Learning Engineer
Build and deploy ML models that power travel-management features, collaborating with data analysts and engineers to turn business KPIs into production-ready AI systems.
Sr. Director Data & AI Platform Architect
Lead the architecture of Honeywell’s enterprise AI platform across cloud, edge, and hybrid environments, defining standards for lakehouse, streaming, vector databases, and MLOps to scale real-time inference and agentic systems.
Principal AI Platform Engineer - AI Center of Excellence
Principal engineer building and scaling AI infrastructure (compute, storage, networking) for Mastercard’s AI Center of Excellence, enabling large-scale ML and generative AI workloads.
AI Architect
Designs and oversees GenAI/LLM architectures for public-sector clients, focusing on RAG pipelines, deployment, and governance in distributed cloud environments (AWS/Azure).
Senior Software Engineer - Data Engineering & AI
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them to cloud, and maintains MLOps workflows using Spark, TensorFlow, and Airflow.
Senior AI Engineer
Build and deploy AI systems using Azure OpenAI, RAG, and agentic workflows, collaborating with data and engineering teams to integrate AI into insurance products.
Lead Data Engineer
Lead a cloud-based data platform using AWS, Python and SQL to build scalable pipelines, data lakes and AI systems that deliver enterprise insights.