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[Job-30364] DevOps Engineer - Data Platform, Brazil
Build and maintain a scalable, automated data platform on GCP using Terraform, ensuring reliability and performance for AI-driven enterprise solutions.
Remote DevOps/MLOps Engineer
Designs and maintains CI/CD pipelines, Kubernetes clusters, and cloud infrastructure for ML and general apps, automating deployments and monitoring systems.
Software engineer
Build and maintain backend systems and integrations that automate critical healthcare workflows using Python/TypeScript and event-driven architectures.
Staff Machine Learning Engineer, Gen AI | Voice & Speech
Lead GenAI and voice/audio ML infrastructure at a healthcare SaaS company, designing scalable platforms so product teams can ship AI-powered features like Call Intelligence and AI Receptionist.
Data & Machine Learning Engineer
Build and maintain scalable data pipelines, vector stores, and LLM-driven BI systems using Python, Spark, and cloud ML services to power real-time AI applications.
Data Intelligence Platform Engineer
Build and scale a production-grade ML platform for 300+ data scientists using Databricks MLOps and AWS SageMaker, automating CI/CD, monitoring, and multi-tenant infrastructure with Python and Terraform.
Data Engineer IA & MLOps — ETL/Cloud Data Lake
Build and maintain ETL/ELT pipelines in Python and SQL on AWS, optimizing cloud data lakes/lakehouses for performance and cost while collaborating with AI teams to productionize ML prototypes.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Designs and maintains data pipelines, builds analytics solutions, and integrates ML models using Python and SQL for an AI-driven media platform.
Cloud Data Engineer | AI & Real-Time
Build and optimize cloud data pipelines, real-time processing, and Lakehouse architectures using Python, PySpark, and SQL to feed AI models and business analytics.
Senior Data Engineer
Build and own the Snowflake/dbt pipeline that powers Sovos’s US revenue data chain, transforming billing and deferred revenue into close-ready financial outputs for FP&A and leadership.
Senior Data Engineer
Senior Data Engineer builds and maintains a Snowflake/dbt pipeline that turns billing and revenue data into close-ready financial outputs for FP&A and leadership, ensuring reliability and documentation quality for both finance and AI consumers.
Data Engineer
Build and maintain cloud data pipelines, ETL/ELT workflows, and ML model services using Python, SQL, AWS, Airflow, and dbt to power analytics and AI features for a logistics company.
Senior Data Engineer
Design and maintain a Snowflake-based financial data pipeline for a global tax-compliance SaaS, using dbt to transform billing, revenue, and close data for finance teams and AI consumers.
Senior Staff Software Engineer, Cloud AI Infrastructure
Lead a cloud engineering team to design and run GCP-based AI infrastructure that ingests robotics data, trains models, and serves inference at scale for BrainOS, the platform powering 30,000+ autonomous mobile robots.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for a major bank: turn experiments into secure, scalable, and monitored production systems using Python, MLOps, and cloud platforms.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Data/AI Engineer Industrialisation & MLOps IA H/F
Build and industrialize AI/ML pipelines for Crédit Agricole’s Group Infrastructure Platform, turning experiments into secure, scalable, and monitored production systems using MLOps, LLMOps, and cloud-native tools.
Data Engineer IA orienté-e métier Support et Service F/H - SAFRAN AIRCRAFT ENGINES FRANCE
Build and deploy AI solutions (LLMs, RAG, ML) to optimize Safran Aircraft Engines’ customer support and service operations, translating business needs into robust, explainable models.
Data/AI Engineer - AI Industrialization & MLOps
Build and deploy scalable MLOps pipelines to industrialize AI models for a major bank, ensuring reproducibility, security, and compliance.
Data Scientist / AI Engineer
Build and deploy cutting-edge AI solutions for clients, focusing on RAG, chatbots, NLP, and LLM/VLM models while collaborating on internal projects and client engagements.