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Data Scientist
Design and deploy AI/ML solutions—LLM-powered HR tools, semantic search, pricing analytics, and anomaly detection—using Python, MLflow, and Databricks to drive data-driven decisions.
Senior Machine Learning Engineer
Designs, builds, and deploys production-grade ML systems (LLMs, pipelines, and automation tools) for a mid-market professional services firm’s AI-driven internal workflows, collaborating with data scientists, engineers, and stakeholders.
MLOps Engineer
Build and maintain the infrastructure and pipelines that deploy, monitor, and scale machine-learning models in production, using Docker, Kubernetes, and cloud ML platforms.
Senior Machine Learning Engineer
Design and maintain MLOps workflows for AI/ML and GenAI solutions, ensuring model reliability, performance, and governance in a production environment.
Lead Architect de Soluciones de IA y Datos
Lead the design and evolution of AI and data platforms using Kubernetes, microservices, and MLOps tooling to build scalable, production-grade systems.
0825 - 283(4LAT) | Machine Learning Engineer (On-Site Consultant)
Design and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; collaborate with data scientists to build scalable AI systems for real-world applications.
1225 - 405PIC | MLOps Engineer
Build and automate cloud infrastructure for AI/ML models and agents, deploying scalable pipelines on AWS/GCP/Azure with Kubernetes, CI/CD, and observability tools.
1225 - 403BAU | MLOps Engineer Senior
Senior MLOps Engineer builds and maintains scalable ML pipelines on AWS/Azure using SageMaker, MLFlow, and IaC tools like Terraform to deploy and monitor production models.
Mid AI & ML Engineer
Builds and deploys AI/ML systems (classical models, LLMs, agentic workflows) in production using Databricks, Azure ML, and Kubernetes, with a focus on forecasting, prompt engineering, and observability.
Solutions Architect - Databricks
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases, while aligning with business objectives and compliance standards.
Enterprise Data & AI Orchestration Architect
Advises enterprises on AI/data architecture, MLOps, and GenAI orchestration. Works 10–20 hrs/month validating technical decisions for CTOs and data leaders.
Data Scientist
Build and deploy ML models in Python/SQL, from experimentation to production, using MLOps and A/B testing to drive business impact.
ENGENHEIRO DE MACHINE LEARNING SR
Build and deploy ML models and MLOps pipelines using TensorFlow, PyTorch, and Scikit-learn to power a scalable AI product used daily by major Brazilian companies.
DevSecOps Architect
Design and implement a secure AWS GovCloud environment for a hybrid software factory, modernizing CI/CD, DevSecOps, and MLOps pipelines using EKS, SageMaker, and Kubernetes.
Data Scientist (M/F/ND)
Build and deploy ML models for pricing and underwriting in an insurer, using Python, SQL, AWS SageMaker, and MLOps tools.
Senior Site Reliability Engineer - Undersea Dominance
Senior SRE building and operating CI/CD pipelines, Kubernetes clusters, and monitoring for AI-powered maritime defense systems using Terraform, Docker, and cloud platforms.
Data Engineer
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Founding Engineer - Machine Learning
Build and deploy production-grade ML systems from scratch for an AI data and services startup, focusing on LLMs, embeddings, and reinforcement learning pipelines.
ML Ops Enigneer / 1
Build and maintain ML infrastructure: automate CI/CD-driven deployments, orchestrate scoring pipelines, and manage model versioning and monitoring with MLflow and Databricks.