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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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2+ years of experience in working with AI technologies and tools, such as natural language processing (NLP), AI generation, machine learning algorithms, deep learning, etc.
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Optimize machine learning pipelines for performance and scalability using LangChain for natural language processing tasks. As a Machine Learning Engineer, you will work as part of a team to assist, develop, and collaborate in ML models and algorithms, specifically focusing on integrating Azure OpenAI services and Large Language Models.
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Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers.
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Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing or data mining. MS or PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Machine Learning, Information Retrieval, Data Science or related field.
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We are looking for a highly skilled Senior Computer Vision/Machine Learning Engineer that has experience or education in image processing, machine learning, video coding & compression, and system integration.
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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Experience with advanced robotic technologies such as AGV, ASRS, vision systems, machine learning and artificial intelligence Join our team and be a part of our global digital transformation journey toward factories of the future.
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We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. MS, or above in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
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ROLE OVERVIEW:As a Machine Learning Engineer at Nelnet, you'll be at the intersection of data science and software engineering. Feature Engineering: Collaborate with Data Scientists to engineer features for machine learning models.
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About the role As a Staff Machine Learning Engineer at Ladder, you're an integral part of our engineering team playing a critical role in designing, developing and deploying advanced machine learning models to transform the life insurance industry.
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machine learning natural language processing engineer electrical engineering jobs Title: machine learning engineer
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