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Build and deploy ML models in Python/TensorFlow/PyTorch to analyze large datasets, generate insights, and power real-time decisions for a Singapore-based AI product team.
Develops and optimizes a Python-based machine learning framework for search, ads, and recommendation systems using TensorFlow/PyTorch.
Backend engineering intern building scalable recommendation infrastructure using multi-modal content processing, vector retrieval, and RAG systems in Python/C++.
Design and implement Neo4j graph models for banking data, apply graph algorithms to detect fraud, and build real-time investigation dashboards for AML teams.
Build and optimize high-performance ML kernels and compilation systems for recommendation/inference platforms powering apps like TikTok and Douyin.
Design and build scalable data pipelines on Databricks and cloud platforms, integrating diverse data sources to enable AI-driven analytics and business insights for enterprise clients.
Build and run the backend systems that power an AI assistant, focusing on inference pipelines, orchestration, and low-latency APIs for reliable, real-world task completion.
Build GenAI/LLM prototypes and FastAPI inference services to analyze manufacturing data (images and structured datasets) for Seagate’s slider PPE team in Korat.
Build and optimize resource scheduling systems for ML platforms, orchestrating GPUs, CPUs, and accelerators across distributed clusters to support training, inference, and evaluation workloads.
Build and lead a global observability stack (metrics, logs, traces, profiling) for a large consumer internet platform, supporting both traditional distributed systems and AI-driven infrastructure.
Наша команда занимается развитием AI-зрелости компаний экосистемы B2B. Сейчас мы ищем неравнодушного специалиста с обязательным опытом в области GenAI на позицию ML-инженер. Предстоит заниматься разработкой и…
Build and optimize the backend inference and orchestration layer for an AI assistant that integrates LLMs and multimodal systems into daily workflows.
Build and maintain large-scale offline computing systems for TikTok’s recommendation engines, using big-data frameworks like Flink/Spark and ML stacks such as PyTorch.
Builds full-stack web apps and interfaces to deploy optimization and ML models for academic research, using React, Python, and cloud tools.
Build and deploy AI-powered media solutions using LLMs and ML models, integrating cloud-native services and MLOps pipelines in Python/JavaScript.
Design and deploy AI/ML models using Python, TensorFlow, and PyTorch to build predictive solutions and drive digital transformation across industries.
Design, train, and deploy ML models using Python, TensorFlow, and PyTorch to power AI-driven solutions for businesses in Riyadh.
Build and deploy AI models for a Jeddah hospital, using Python and ML frameworks to improve diagnostics and patient care.
Design, train, and deploy AI/ML models and generative AI solutions using cloud-native platforms like GCP Vertex AI, Azure ML, or AWS SageMaker.
Build and deploy AI models to improve player experience in Kammelna Games, including churn prediction and personalization, using Python, ML frameworks, and MLOps tools.
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