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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with CNN training and deep learning frameworks such as PyTorch, Tensorflow, Keras or similar. This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives for the enterprise.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Helped build machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications.
$120,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Some experience in one or more areas of advanced ML&AI, including deep learning, computer vision, computational linguistics/conversational AI, or recommender systems. Proficiency of at least one programming language for data analysis (i.e., Python, R) and cloud-based relational SQL database management systems (e.g., Google Cloud Platform BigQuery.
$30 - $40 an hourInternExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with an ML stack such as typical scientific Python libraries (pandas, numpy, sklearn, xgboost) or deep learning frameworks (we use Pytorch) Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Strong expertise in NLP/NLU with focus on deep learning models and open source LLMs such as Llama 2, Falcon etc., · Proficiency in programming languages such as Python and experience with NLP. libraries/frameworks like spaCy, NLTK, Hugging Face Transformers and Generative AI and LLM frameworks.
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Our Industries Sales Engineering organization is seeking a Principal Architect, Machine Learning, Industries Field CTO focused on Machine Learning and Artificial Intelligence to join our team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall machine learning ecosystem.
$176,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Strong proficiency in programming languages such as Python, R, or Scala, as well as experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). As a Staff Data Scientist, you will play a pivotal role in developing state-of-the-art machine learning models to effectively manage financial risk and maximize customer LTV. You will collaborate closely with cross-functional teams to work on high-impact initiatives that drive the continuous improvement of our products and services through innovation.
$200,000 - $235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Extensive experience with Python Machine Learning toolsets (Tensorflow, PyTorch, Scikit-learn, Numpy, Pandas.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
$150,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Must have 3 years of experience with each of the following: 1) Machine learning methodology and analysis, including supervised and unsupervised learning algorithms; 2) deep learning models; 3) programming in Python, SQL, and R; 4) applying Health Economic and Outcomes Research (HEOR) methods in a business setting; 5) statistical languages, including Matlab, SAS, and Hadoop.
$104,603 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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You have deep exposure to ML tech stack (Sklearn, Keras/TensorFlow, Pytorch, tuning frameworks, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions) as well as analytical & statistical modeling skills (non-parametric prediction, unsupervised learning, measuring uncertainty & statistical inference.
$250,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$73,000 - $127,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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