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Build and deploy ML models for fraud detection using network analysis to secure online transactions and protect clients.
Design, train, deploy, and optimize ML models and AI solutions across the full lifecycle using cloud AI platforms and frameworks like TensorFlow/PyTorch.
Designs and maintains the MLOps platform, builds monitoring dashboards, and ensures reproducible ML toolchains using Terraform and cloud infrastructure.
Lead the design and implementation of ML systems that power Wise’s money-movement network, ensuring low fees and high reliability for global transfers.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Lead the design and optimization of database systems that power both business apps and AI-driven solutions, including vector databases and LLM integrations, while mentoring the team.
Build and deploy AI/ML models to forecast revenue, detect anomalies, and optimize pricing/promotions for a financial services company.
Senior ML engineer to adapt and deploy quantum ML algorithms into client-ready solutions on Pasqal’s quantum processors and emulators, building end-to-end pipelines and collaborating with R&D and enterprise partners.
Ми — EVERSTAR, перша рекрутингова агенція в MilTech для тих, хто готовий створювати технологічне майбутнє. Але досить про нас, розказуємо про головну роль. Ця вакансія у R&D-команду, що розробляє та виробляє…
Build and deploy ML models and MLOps pipelines in Python, focusing on scalable data processing and real-time model serving for predictive maintenance, pricing, and computer vision.
Senior Computer Vision Engineer builds and optimizes production models for object detection, segmentation, and depth analysis using real-world sensor data from outdoor mapping systems.
Build and deploy ML models using TensorFlow and NLP in Python, analyzing datasets to create predictive solutions for a product-focused team.
Design, build, and optimize ML models using Python or Java and frameworks like TensorFlow or PyTorch to solve complex problems from large datasets.
Build and deploy ML models for a multimodal AI platform using LLMs, RAG, and computer vision to enhance auto-tagging, OCR, and content analysis for enterprise clients.
Develops and implements AI/deep-learning models for computer vision and NLP, trains them on large datasets, and integrates solutions with cross-functional teams using Python and frameworks like TensorFlow or PyTorch.
Designs and builds AI/ML proof-of-concept prototypes and cloud-native solutions to validate business opportunities and drive digital transformation.
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining scalable ML pipelines in cloud environments like AWS or Azure.
Lead the design and deployment of AI-driven time-series forecasting models for financial risk, FX exposure, and treasury planning using Python, ARIMA, XGBoost, and Prophet.
Builds, deploys, and optimizes AI/ML models and pipelines for enterprise products, integrating GenAI, NLP, and predictive analytics into scalable systems.
Designs and deploys transformer-based deep learning models using TensorFlow/PyTorch, optimizing architectures and solving ML challenges in a collaborative engineering team.
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