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4+ years of hands-on experience in building and deploying Machine Learning solutions using various supervised/unsupervised ML algorithms such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc., 2+ years of experience in building solutions for AI/ML cognitive services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment.
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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, ECS, Kafka, Knowledge Graphs, SQL and non-SQL data stores, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, as well as a suite of in-house and third-party content publishing tools, an A/B experiment design platform and a commercial-advertising platform.
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The Austin Public Health, Environmental Health Services Division provides critical public health regulatory operations including food inspections, special permitting, plan review, environmental vector control and community education efforts.
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Embedding and Vector Retrieval Algorithms (Illuminate) Flask/Django (Good to have for illuminate not mandatory) Docker (TMS and Illuminate) Embedding and Vector Retrieval Algorithms (Illuminate.
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Serving as an evangelist of our technology leading with our new innovative offering such as GenAI, Vector Search, Security, and Observability. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems.
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Experience working with Elasticsearch or equivalent as a vector database. SGS is seeking an innovative Machine Learning Engineer to join our team and help create the next generation of analytics and artificial intelligence solutions for government and defense applications.
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Hands-on experience with lab instruments such as digital oscilloscopes, multimeters, electronic loads, source measurement units, RF signal generators, spectrum analyzers, network analyzers, and vector signal analyzers.
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Experience with AI Ops & tooling specific to LLMs (e.g., vector databases, RAG, prompt ops, frameworks like PyTorch) to enhance and streamline LLM development and deployment. Experience with AI Ops & tooling specific to LLMs (e.g., vector databases, RAG, prompt ops, frameworks like PyTorch) to enhance and streamline LLM development and deployment.
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Ability to program using assembler to write custom tests for vector analysis. Preferred familiarity with RISC-V Vector, latest spec 1.0. Familiarity with the Gamma et al Design Patterns and basic UML syntax (e.g. Observer, Composite, Adaptor, Proxy, Facade, etc.
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Strong object-oriented programming (OOP) skills, including encapsulation, class coherency, inheritance and polymorphism. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer.
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Experience with hardware multithreading, virtualization, multi-cluster, and vector designs. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors.
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Background and practical experience with FPGA & modern vector processing engines. Very strong background in digital signal processing, statistics, linear algebra, communication theory, machine learning, and L1/L2 algorithms.
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Familiarity with SIMD and vector architectures a plus. You will collaborate with experienced CPU and SoC designers in micro-architecture and RTL to assess the feasibility of ideas through modeling, refine ideas and model correlation, and seed new ideas.
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This position will primarily provide inspection services in unincorporated Travis County districts, including food, pools, and environmental complaint investigations. State of Texas Professional Sanitarian-in-Training Registration.
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vector job in Austin, TX
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