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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.
AI Architect
Principal AI Architect designs and evolves WorkSpan’s AI platform, owning agent orchestration, RAG pipelines, streaming inference, prompt lifecycle, observability, and security for enterprise-scale AI systems.
Analytics Engineer | Business Analytics & Data Quality
Builds and maintains data pipelines, KPIs, and ML models using Python, SQL, Databricks, and PySpark to turn raw data into business insights and decisions.
Analytics Engineer | Business Analytics & Data Quality - marbella
Build and maintain data pipelines and models using Python, SQL, PySpark and Databricks to turn raw data into KPIs and business insights for a product-focused team.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA - valència
Senior Data & AI Engineer / MLOps Engineer to industrialize AI solutions, deploying ML models and LLM agents into production while ensuring data pipelines, security, and governance meet enterprise standards.
Senior Data & AI Engineer / MLOps Engineer – Productivización de Soluciones de IA
Senior Data & AI Engineer / MLOps Engineer to industrialize AI solutions, deploying ML models and LLM agents into production while ensuring data pipelines, security, and governance meet financial-sector standards.
Senior AI Platform Engineer
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
AI Platform Engineer (Cloud)
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
Senior Data Analytics Engineer
Build and maintain healthcare data pipelines and Tableau dashboards to support clinical decision-making and quality improvement using Databricks and Python/SQL.
Cloud Data Engineer
Designs and builds cloud data pipelines, warehouses, and analytics platforms using AWS, Databricks, and Informatica for healthcare clients.
