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Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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4+ years experience in enterprise-scale technical design, delivery, or consulting on Azure AI services, Generative AI, NLP, Computer Vision, Search, Deep Learning, Azure Machine Learning, MLOps, Open-Source AI frameworks, AI infrastructure, architecture design, or related technologies.
$101,200 - $194,800 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We are looking for someone who has:5+ years of hands-on experience building ML/AI systems for search advanced information retrieval, ranking, or recommender systemExpertise in machine learning tools and packages like Scikit-learn, SciPy, Tensorflow, Keras, etc.
Full-timeRemoteExpandUpdated Yesterday - UpvoteDownvoteShare Job
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The team comprises domain experts in Computer Vision & Natural Language Processing (NLP) who contribute to a variety of shipping workflows you may already regularly use, including: Photos Search, Curation, Memories, Intelligent Auto-crop, Visual Captioning for Accessibility, Federated Learning on visual content, Real-time Classification & Saliency in Camera, Semantic Segmentation in Camera, and several on- device feature extractors across the system.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with deep learning toolkits such as Jax, Tensorflow or PyTorch. The goal of the Apple Services Engineering Machine Learning Lifecycle team is to take personalization, search, and more to the next level of intelligence and accuracy using advanced ML and statistical techniques.
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OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or. Are you a Full Stack Developer with extensive azure experience working at a Large Financial Institution and being told by your leadership that you are too hands-on or detail-oriented or think and work like a start-up.
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Equivalent), Generative AI, Natural Language Processing (NLP), Search. Setup Kafka to support 10mm messages/hr throughput on 2KB payloads. Navigate & debug Java Apps on a Linux EC2 Instance.
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Use and tweak Terraform Scripts to deploy Kubernetes Clusters with EKS. Create Circuit Breakers with Spring Cloud. services (Redis Cache, Service Bus, Event Hub, Cloud Service, IoT suite, Mobile. We are trusted by some of the most reputable and established FinTech Firms.
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Data Platform: SQL Server, Azure SQL DB, Azure Data Factory. Deep Understanding of cloud computing technologies across Windows and Linux, Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.
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Enterprise-scale technical experience with Azure AI Services including Azure. Imagine working to engineer platforms that impact billions of lives around the world. Azure Core Platform: Compute, Storage, Networking.
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Create a Java Thread Executor Pool to read & write from a Thread-safe queue. Azure Application Development or support experiences with Azure PaaS. Optimize business logic & SQL queries to enhance performance by 50.
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Has extensive experience with Azure (Certified preferred) Create Distributed Cloud Configuration with Spring Cloud. Create a Database Integration via Hibernate or Spring Data. C#, Python, Node. JS, etc.
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Write applications in Java using Object Oriented Design Principles. Use Java Streams API to work with real-time data. Our Platform Engineering Team is working to solve the Multiplicity Problem. Use Java Lambdas for use in Collections.
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We are looking forward to you joining our Platform Engineering Team. With your passion and focus we will accomplish great things together! Build Services that are Highly Available (Multi-AZ & Multi-Region.
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Application development & debugging experience: C/C. Create Java Spring Boot REST Services. Build Algorithms to Optimize Execution times and reduce end-to-end latency. We work closely with.
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