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Project Coordinator
Coordinate daily AI-powered ultrasound screening workflows in hospitals, ensuring SOPs, device readiness, and data capture while managing stakeholder communication and compliance.
Backend Team Lead
Lead a backend and MLOps team building AI-driven systems that power Nanit’s predictive parenting intelligence platform, including APIs, data pipelines, and model deployment.
Embedded AI Engineer, Lund
Develop embedded AI and computer vision algorithms for video analytics on Linux-based devices, optimizing deep learning models for production deployment in security products.
2026 - Senior LLM Agent Researcher/Engineer - Permanent
Build and deploy LLM-powered agents and domain-specific models for Huawei’s cloud services, focusing on scalable, low-latency AI systems for consumer cloud operations.
Ingénieur(e) Data Scientist confirmé(e) - Industrie - Lyon
Build and deploy AI/ML models (generative, computer vision, deep learning) for industrial clients, using Python, SQL, and cloud platforms.
Machine Learning Engineer
Build ML models for credit risk, loan needs, and card approvals within Toss’s financial marketplace, using Python/SQL and modern ML techniques to drive business growth.
Head of Telematics Data Science
Lead a team of data scientists and ML engineers to build AI models that turn phone-sensor driving data into fairer insurance pricing, crash detection, and driver coaching using on-device and cloud ML.
Senior Data Scientist (Integrity)
Develops advanced AI models (OCR, KYC verification, multimodal LLMs) for document/image processing to scale user onboarding and fraud detection at Grab.
Lead Data Scientist, Item Science
Lead a team building AI/ML models for retail item data, including GenAI, LLMs, and computer vision to automate catalog management, attribute enrichment, and search relevance at scale.
Lead Data Scientist, AML
Lead Data Scientist focused on developing and deploying generative AI/ML models (LLMs, RAG, deep learning) to solve retail challenges, collaborating with cross-functional teams to build scalable, production-ready AI solutions using Python, PyTorch/TensorFlow, and cloud-native tools.
Lead Data Scientist, Competitive Intelligence
Lead a team building AI/ML systems for competitive product intelligence, focusing on NLP, deep learning, and GenAI (e.g., transformers, RAG pipelines) to classify, match, and validate products at scale for Target’s retail operations.
Senior Full-Stack Engineer
Builds and maintains production-grade AI/ML-powered full-stack applications, integrating LLMs, agentic systems, and classical ML into core business workflows at Target, focusing on scalable, secure, and user-facing solutions.
Senior Data Scientist, Supply Chain Optimization
Build and deploy predictive and prescriptive algorithms in Python to optimize Target’s middle-mile supply chain, collaborating with engineers to scale solutions across millions of SKU-network combinations.
Associate Machine Learning Engineer
Build and deploy ML models for finance datasets using Python, Spark, and cloud platforms; collaborate with data scientists to deliver scalable AI solutions in healthcare.
Senior AI / Machine Learning Engineer
Build and deploy large-scale AI models (LLMs, diffusion, GNNs) for biomedical discovery, owning end-to-end training pipelines and distributed systems.
Data Scientist - AI
Build and deploy AI models for enterprise clients in hybrid cloud environments, collaborating with cross-functional teams to deliver data-driven solutions.
Lead Machine Learning Engineer
Designs, develops, and deploys advanced ML models to solve business challenges, collaborating with cross-functional teams to optimize data pipelines, algorithms, and production systems using Python, TensorFlow, PyTorch, and cloud platforms like AWS/Azure.
Artificial Intelligence (AI) Scientist
About Us Ropedia is a Singapore-based, early-stage AI startup focused on building the data infrastructure for spatial and physical intelligence. Our core team brings together expertise from Tsinghua, Meta, Google, and…