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Senior Machine Learning Engineer - (Platform)
Build and deploy ML systems for crypto fraud detection, recommendations, and chatbots using deep learning and graph neural networks to secure and improve Coinbase’s platform.
Ingénieur en machine learning/Machine Learning Engineer, ProServe Shared Delivery Team - Data & AI
Build and deploy end-to-end AI/ML and GenAI solutions on AWS for enterprise clients, designing scalable pipelines and advising on cloud architectures.
Sr./ Staff AI/ML Engineer - Vision Systems
Lead the development and deployment of AI/ML computer-vision systems for industrial quality-assurance hardware, using Python, OpenCV, TensorFlow/PyTorch, and edge/GPU acceleration.
Principal Data Scientist
Leads advanced data science projects, building ML/DL models and pipelines to extract insights and drive business decisions in a large financial institution.
Senior Machine Learning Engineer, Recommendations
Build and deploy ML models for real-time ride-sharing recommendations using deep learning frameworks like PyTorch or TensorFlow.
Lead AI Engineer
Lead the design and deployment of AI/ML features for a commercial real estate SaaS platform, including LLM-powered tools and custom domain models, while setting engineering standards and mentoring teams.
Senior Machine Learning Engineer in Medical Imaging
Build and deploy deep-learning models in TensorFlow/PyTorch to analyze ultrasound signals for liver care, lead ML engineering processes, and guide teams on best practices.
Lead Data Scientist
Lead a team of data scientists and ML engineers to build deep-learning models for real-time sorting of blended plastics using high-dimensional sensor data, moving models from lab to production.
Machine Learning Software Engineer
Build and deploy end-to-end machine learning systems for financial services, from data prep to production pipelines, using Python and ML frameworks.
Lead Machine Learning Engineer
Lead the design and scaling of multi-turn AI agent systems for banking workflows, from model evaluation to production deployment and team mentorship.
Senior Machine Learning Engineer
Build and deploy ML systems for video recommendations and personalization at scale using deep learning frameworks like TensorFlow or PyTorch.
Machine Learning Engineer (Pipeline Developer)
Build and improve ML pipelines for media/entertainment tools, implementing deep-learning models in Python/C++ to process VFX and game data at scale.
Machine Learning Engineer
Build and deploy AI/ML models (computer vision, NLP, LLMs) on Azure to support transportation and infrastructure projects, ensuring robust CI/CD and stakeholder communication.
Machine Learning Engineer
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Machine Learning Engineer
Build and deploy AI-powered retrieval and agentic systems using LLMs, RAG, and cloud-native ML pipelines to enhance Workday’s HR and finance platforms.
Lead Machine Learning Engineer
Lead the design and scaling of multi-modal, agentic AI systems for banking workflows, from model evaluation to production deployment in a fast-growing startup.
Lead Machine Learning Engineer
Lead the ML/AI team at a fintech startup building multi-turn AI agents for banking workflows, setting technical direction and scaling production systems.
Senior Data Science Engineer
Builds and deploys AI-driven travel solutions using ML, generative AI, and optimization on GCP, focusing on pricing, automation, and operations for airlines and agencies.
On-Device Research Engineer
About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and…
Lead Audio ML Engineer
Lead the design, training, and on-device deployment of audio ML models for wake-word detection, voice enhancement, and speech processing in Hark’s AI-powered hardware products.