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Mid Level Machine Learning Engineer
Builds and maintains machine learning infrastructure for AB InBev’s B2B platform BEES, including training pipelines, inference services, and monitoring, using Python, PySpark, Kubernetes, and Azure cloud.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Intermediate Quality Assurance (QA)
Mid-Level QA Engineer at AB InBev's BEES platform responsible for testing backend services, APIs, and integrations. Works with agile teams to design, execute, and automate tests, using tools like Jira and Zephyr, with experience in HTTP, REST APIs, and CI/CD pipelines.
Senior Java Developer
Senior Java developer builds and maintains scalable backend services for a global B2B commerce platform using Java, Spring Boot, and cloud-native tools.
Support Engineer
Please note that this position is remote and assigned to the night shift (00:00am till 9:18 am) About BEES: Join us to build the future of B2B commerce! BEES is AB InBev’s B2B platform. Through our ecosystem, merchants…
Senior Machine Learning Engineer
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Mid Level Machine Learning Engineer
Build and maintain ML platform components for a B2B e-commerce SaaS, including training pipelines, inference services, and observability, using Python, PySpark, Kubernetes, and Azure.
Senior Software Engineer, Backend
Senior Backend Software Engineer at Grab's Payments FundsCore team building scalable distributed systems for the financial backbone, processing millions of transactions daily using Go/Java, distributed patterns (idempotency, event sourcing, Saga), and cloud technologies like AWS.
Software Engineer III - Java - Asset Management Trading Technology
Build and maintain core Java trading platforms, messaging systems (Kafka/AMPS), and GenAI tooling to automate and optimize order execution across asset classes.
Lead Software Engineer, AI (P4577)
Builds and scales AI-assisted developer tooling for Kroger and 84.51°, designing deployment automation, prompt/skill marketplaces, and workflows to enable enterprise-wide AI adoption in software development.
Sr. Software Engineer (Framework Solutions), AI & Data Platforms (AiDP)
Build and customize AI/ML and data platforms, including data processing, observability, and visualization tools, using cloud-native and distributed systems.
Senior AI Platform Engineer
Build the shared AI platform layer that lets Oyster teams develop, deploy, and operate secure, production-grade AI applications using LLMs, RAG, agents, and workflows on AWS/Snowflake.
Principal Ai Full-Stack Engineer
Principal AI Full-Stack Engineer builds and operates agentic AI systems for insurance products, owning LLM inference chains, AI infrastructure, and full-stack features from model to UI.
Senior Python Developer - Up To €240 A Day - Remote
Builds and maintains scalable Python-based systems for a fintech payments platform, focusing on cloud architecture, Kubernetes deployments, and real-time messaging infrastructure.
Senior Python Developer - Up To €240 A Day - Remote
Build and maintain scalable payment systems using Python, AWS, and Kubernetes while ensuring reliability with observability tools.
Senior Software Engineer, Applied AI (IC)
Builds and scales an AI agent platform to integrate AI into the software development lifecycle, focusing on tooling, observability, and reliability for internal and product-facing AI features.
Software Engineer, Infrastructure & Platform
Build secure, reproducible environments for running AI evaluations and agentic workflows using cloud infrastructure, Kubernetes, and backend services.
Data Engineer
Designs and builds scalable data pipelines and integrations for an AI-powered healthcare platform, ensuring reliable data flow for analytics and AI agents.
Manager of Engineering
Leads a multi-team engineering organization to build, scale, and operate an enterprise AI platform for regulated industries, ensuring reliability, security, and delivery predictability.