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Staff Applied AI Engineer
Staff-level applied AI engineer at Ivanti who builds data pipelines over Snowflake and unstructured data, ships churn analytics and predictive models, and produces production LLM/agentic AI systems optimized for token cost and latency. Also defines enterprise reference architectures and MLOps/LLMOps standards for other teams.
SRE | Site Reliability Engineering
Site Reliability Engineer at C6 Bank, a Brazilian digital bank, responsible for the reliability, scalability and observability of the infrastructure behind its financial products. Day-to-day work centers on Kubernetes in production, Terraform/IaC, GitOps CI/CD (ArgoCD, GitHub Actions), observability tooling, incident management and on-call, with a push toward AI agents and AIOps for operations.
Infrastructure Engineer, Cloud
Build and operate the AWS-first cloud foundation (landing zones, Terraform IaC, observability, security and compliance controls) that LEGO Digital Play's engineering teams and internal studios ship on, including AI/ML platform infrastructure. Individual contributor role, hybrid with three days a week in the London office.
Staff Machine Learning Engineer - Game Tech Group, ML Platform
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
Applied AI Engineer till Siemens Energy
Consultant (employed via Skill) working on-site at Siemens Energy in Finspång, developing AI solutions that streamline engineering and PLM processes: fine-tuning LLMs, building RAG apps, AI agents and MCP servers, and deploying them on Microsoft Azure with Python and MLOps/LLMOps practices.
Software Engineer
Software Engineer (IoT Solutions) at TOMRA in Dublin, developing digital platforms and Linux-based edge applications: containerised telemetry/data pipelines, secure cloud communication, and MLOps for deploying and monitoring machine-learning models across recycling sorting systems. Core stack: C#/.NET, Python, Linux, Docker, MQTT/gRPC and databases like PostgreSQL and ADX.
COORDENADOR ENG. DE MACHINE LEARNING
Leads the MLOps and Data Engineering teams at Banco BBC Digital (Movida's bank) in São Paulo: defines the data/ML platform architecture, engineering standards (CI/CD, IaC), model deployment/monitoring, and infrastructure for generative AI (LLMOps, RAG). Stack includes Python, MLflow/Kubeflow, Docker and Kubernetes.
Data Science Lead
Leads and delivers multiple data-science engagements for oil & gas and petrochemical clients, owning the end-to-end project lifecycle from problem framing to delivery while acting as the main client contact. Core tech: AI/ML, NLP, GenAI, RAG/LLM, MLOps; cloud (AWS/Azure/GCP) and BI tools are pluses.
AI Engineer – Generative AI, MLOps & RAG (Smart Working)
Bludigit is hiring an AI/ML Engineer with 3–5 years of enterprise experience to design, develop and productionize AI solutions — RAG architectures, vector search, MLOps pipelines and AI agents — working with Data, IT and Business using Databricks, Azure OpenAI, Python and SQL. Smart working up to 10 days/month.
Working in Technology (WiT) Data Science - Summer 2027
A 12-week Summer 2027 internship in Chicago for graduate students from underrepresented backgrounds in tech, working on data science, machine learning, generative AI (RAG, LLMs), and data engineering projects supporting business use cases. Core stack includes Python/R, SQL, Azure cloud, Spark, and ML/NLP frameworks.
ESPECIALISTA DE ENG. DE MACHINE LEARNING
A data/ML engineering specialist at Banco BBC Digital (Movida's digital bank) in São Paulo, designing the structured data layer for credit-risk analytics: building analytical tables, pipelines and feature stores, and preparing data for generative AI/RAG using Python, SQL, Spark and Airflow.
Senior Technical Product Manager, ML Platform
Senior Technical Product Manager for Coveo's ML Platform team in Montreal: you'll own and evolve the roadmap for the internal platform that Coveo's applied scientists and ML engineers use to train, evaluate, deploy, serve and monitor models, balancing reliability, cost, and scalability. Requires 5+ years in technical product management plus hands-on ML systems experience.
Lead Technical Product Manager — Machine Learning Platform
Lead Technical Product Manager shaping the vision, architecture, and multi-year roadmap of N26's central Machine Learning Platform, which powers real-time fraud detection, credit risk scoring, and operational decisioning across the bank. Focus areas: MLOps infrastructure (Kafka, feature stores, model registries, CI/CD) and model governance for European banking compliance.
Principal Full Stack Software Engineer
Principal full-stack engineer building Butterfly Network's Enterprise Clinical workflows system on the Butterfly Cloud — solving distributed systems problems, designing cloud architecture at scale, and delivering enterprise platform features like global search and audit logging for a healthcare ultrasound company. Hybrid role based in the New York City office.