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Design,develop and implement data science projects, including machine learning models, deep learning models, NLP solutions, statistical analysis, and data visualization.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
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10 + years of professional experience as a data scientist or machine learning engineer with proven track record of delivering functional product oriented ML solutions. Altana provides the world’s only dynamic, intelligent map of the global supply chain - the Altana Atlas - using AI and machine learning models to connect with and learn from massive sets of public and private data.
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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 1 month ago - UpvoteDownvoteShare Job
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Expert knowledge of Machine Learning Algorithms: NLP, Neural networks, deep learning, Naïve Bayes, regression, random forest, clustering, text mining. firstam.com. What We Do We are looking for a Senior Data Scientist who is passionate about learning, experimenting, and building solutions in a fast-paced environment.
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Deep learning models (e.g. MLP, LSTM, CNN, Transformers, genAI LLM like GPT, llama, Gemini) Programming languages like Python, and deep learning framework like PyTorch. Hands-on experience in NLP, machine learning and deep learning techniques, open-source frameworks.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist.
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Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras. Linear Algebra: Understanding of deep learning algorithms.
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What we are looking for: As an Applied Scientist on the 3D Vision team at Flawless you will work with a close-knit, passionate group of world-class researchers and scientists to tackle some of the most challenging problems in deep learning, including 3D reconstruction and monocular facial tracking.
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We Seek: Deep Learning Ninja: Proven experience in designing and implementing machine learning solutions utilizing GCP and various algorithms (e.g., TensorFlow, PyTorch). Machine Learning Engineer - Google Cloud Platform (GCP) Shape the future with next-generation AI: Join us as a Machine Learning Engineer.
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Extensive experience with Python Machine Learning toolset (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas). Through the Atlas, companies and governments can understand the distant origins of products well beyond their own direct suppliers; discover trading relationships and national security risks deep in their networks; measure labor and environmental impacts; identify related risks and opportunities; ensure effective compliance and enforcement with trade requirements; and collaborate to manage all of it.
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Develop deep learning-based methodologies for characterizing single cell and spatial transcriptomics datasets to infer features critical for cancer immunology drug discovery. Extensive experience with deep learning methodologies including transformers, GNNs, and CNNs as well as semi-supervised and self-supervised learning strategies.
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Deep Learning including Sequential modeling, Graph modeling and Transformer based models. This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques.
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As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. Proficiency in building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience.
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deep learning jobs Title: data scientist applied Company: Johnson Johnson in Phenix-city, Alabama
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