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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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Good understanding of Machine Learning and Deep Learning technologies. Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch.
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Background in machine learning with experience in large scale training and deployment of deep neural nets and/or transformer architectures. Experience with machine learning frameworks such as TensorFlow or Pytorch, Lightning, Mosaic ML etc.
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Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants.
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Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP.
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Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Deep knowledge of one specific infrastructure technology and programming language (e.g., Bash, Python, Java, GoLang etc.
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Strong understanding of machine learning, deep learning, and generative AI methods and technologies. As an Machine Learning Engineer, you will:Play a crucial role in designing and developing cutting-edge frameworks to drive our trading and research efforts, enabling innovation through foundational models.
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Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training. 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
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Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms. Machine Learning EngineerAI PracticeZS AI Practice is building transformative AI-enabled data products and solutions.
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Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
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As a Machine Learning Engineer specializing in Natural Language Processing (NLP) at Cloudacio, you will develop and refine advanced solutions in language understanding, text generation, and semantic analysis.
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Strong background in Machine Learning, Deep Learning, NLP, LLMs, and Transformers. We’re looking for an innovative Machine Learning Engineer passionate about using NLP and LLMs to help us transform healthcare by powering proactive care at population scale.
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machine learning deep jobs Title: engineer in New York, Bentonville, Kansas
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