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Engineer II, Global Product Support for next-gen ALD semiconductor tools, bridging development and customer fabs to ensure performance, reliability, and smooth deployment.
ML Engineer building and productionizing ETA and delivery-time prediction models in Python that power consumer-facing ETAs and rider-dispatcher decisions across Deliveroo's three-sided food-delivery marketplace.
The AI/ML Engineer will support the development and deployment of AI solutions, including generative AI and agentic workflows, to optimize manufacturing and supply chain operations. The role involves data preparation, model testing, and collaboration with stakeholders to improve operational efficiency.
We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in…
Designs and deploys scalable AI/ML systems, including GenAI and computer vision, while leading reusable frameworks and mentoring teams to raise technical standards across projects.
Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The…
В Центре робототехники Сбера мы обучаем модели, которые должны управлять роботами в сложных реальных условиях. Для этого мало просто собрать большое количество данных: нужно понимать, какие записи полезны, где в них…
Build ML systems that estimate causal effects, quantify uncertainty, and automate commercial decisions in a continuous loop of learning and improvement.
This is a student co-op role at RBC Borealis where the intern will develop machine learning-based software solutions, working on tasks ranging from data pre-processing to algorithm implementation and front-end development. The role involves collaborating with research teams and utilizing distributed computing frameworks to solve complex financial problems.
This 4-month student co-op role at RBC Borealis involves developing end-to-end machine learning solutions, from data pre-processing to algorithm implementation and front-end development. The intern will collaborate with research teams to build scalable, data-driven financial applications using technologies like Python, C++, Spark, and various deep learning frameworks.
Build and optimize the backend infrastructure for ByteDance’s Volcano Ark large-model platform, focusing on scalable, low-latency inference services and cloud-native tooling.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Be an integral part of an agile team that's constantly pushing the envelope to enhance, build,…
The AI/ML Lead Consultant will lead customer engagements on Google Cloud, designing and delivering AI, machine learning, and Generative AI solutions. The role involves technical leadership, architectural design, MLOps implementation, and mentoring teams to move projects from strategy to production.
Builds and deploys AI/ML/agent systems for quantum-inspired computing, integrating Azure Quantum tools and classical ML workflows. Daily coding in Python, designing agentic systems, and optimizing quantum-classical hybrid solutions for use cases like optimization, simulation, and logistics.
Привет! Альфа-Деньги — это команда единомышленников, стабильная растущая финтех-компания. Мы — часть большого холдинга Альфа-Банка со своим независимым подходом к ведению бизнеса. Вместе мы создали лучший финансовый…
Builds and deploys AI/ML solutions for enterprise data intelligence, focusing on GenAI, LLMs, and large-scale data processing to improve data quality, enrichment, and retrieval for Demandbase’s GTM platform.
Lead AI Engineer responsible for the end-to-end AI/ML lifecycle at an education company, including building data pipelines, developing deep learning, generative AI, and NLP models, and designing scalable AI/ML infrastructure.
Develop AI/ML models and signal-processing algorithms to detect, classify, and interpret complex real-world signals for defence sensing applications.
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