Deliver GPU-powered AI/ML solutions for enterprise clients, focusing on implementation, integration, and optimization of production-grade systems. Integrate Nebius AI solutions into diverse client environments. Design and set up scalable ML training and inference workflows on GPU clusters. Automate MLOps pipelines and manage the entire model lifecycle. Develop clear architecture documentation and operational guides.
Job listings
You’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day. Your work will directly impact user experience, efficiency, and platform intelligence.
As an AI Engineer, you will work closely with Senior AI Engineers and MLOps/Data Engineers to develop, deploy, and optimize AI models that power our next-generation security products. This is a hands-on engineering role, requiring expertise in machine learning model development, deployment, and optimization. You will contribute to multiple AI initiatives, ensuring that models are efficient, scalable, and production-ready.
As a Machine Learning Engineer, you’ll develop and deploy models that power key features - from personalization and risk scoring to intelligent automation and fraud detection. Your work will have a direct and visible impact on millions of users across the region.
As a Machine Learning Engineer, you’ll develop and deploy models that power key features - from personalization and risk scoring to automation and fraud detection. Your work will have a direct and visible impact on millions of users. This is a remote role based in Indonesia, working closely with our HQ in Malaysia and cross-functional teams across the region.
This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI, you’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team. You’ll design and deploy core AI systems that serve millions across the region.
Work with product managers and stakeholders to define AI and machine learning objectives, requirements, and timelines. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Oversee the full AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. Optimize and maintain AI-driven systems for scalability, security, and efficiency.
Work with product managers and stakeholders to define AI and machine learning objectives and requirements. Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges. Manage the end-to-end AI model lifecycle and optimize models for scalability and security.
$135,000–$145,000
USD/year
This role will play a critical part in Tyndale's mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, data engineers and business stakeholders to own the full lifecycle of our ML models and Generative AI applications. This is an exciting opportunity to shape the foundation of our AI and Machine Learning efforts, driving impactful insights and innovations.
$190,000–$210,000
USD/year
Help lead the architecture, development, and deployment of production-grade AI systems. Work with data science, product, engineering, and operations teams to design workflows that will enhance the experience of our members and internal users. If you’re a hands-on engineer with deep expertise in machine learning systems and a pragmatic approach to delivering value quickly in a startup environment, let’s talk!