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Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts. Proficiency with a deep learning framework such as PyTorch, TensorFlow, or Keras and and/or natural language processing using NLTK, spaCy, Gensim, etc.
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Strong background in natural language processing, LLM, machine learning, and statistical modelling. - Natural Language Processing (NLP) Develop and validate cutting-edge NLP algorithms, including large language models tailored for healthcare and biopharma use cases.
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We are looking for 3 to 5 years of experienced Machine Learning Engineer with a strong background in data science, machine learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) technology.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Minimum of ten years of experience with pattern recognition, machine learning, linguistics, utterance classification, and signal processing knowledge. Subject matter expertise of IVR, Natural Language, and ASR platforms.
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As a Machine Learning Engineer, you will lead our data-driven initiatives, focusing on developing advanced ML models, leveraging NLP techniques, and utilizing LLM technology to extract actionable insights from our diverse data sets.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
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We are doing the world-class work in machine learning, computer vision, natural language processing, speech and audio, knowledge and data mining, and transferring our work into ByteDance which are used by hundreds of millions of users around the world.
$129,960 - $194,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch. Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
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Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects. Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
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Promote and facilitate learning and development needs of team. The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Expertise in open source data science technologies such as Python, R, Spark, SQL.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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machine learning natural language processing jobs Title: engineer
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