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Data science, machine learning, optimization models, PhD 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.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
$75,000 - $160,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Excellent programming skills in Python, Pandas, Numpy, Sklearn, Tensorflow/PyTorch. Design and implement AI models using Python, Pandas, Numpy, Sklearn, Tensorflow/PyTorch.
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Proficiency in statistical programming languages such as Python, R, or Scala and experience with ML frameworks like TensorFlow or PyTorch. Proficiency in statistical programming languages such as Python, R, or Scala and experience with ML frameworks like TensorFlow or PyTorch.
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Proven track record of developing and deploying algorithms for a production-ready recommendation, data mining or prediction systems using languages and big data platforms such as Scala, Python, Java, Spark, Presto, and Hive.
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Golang, Python, gRPC, Kafka, Tensorflow, SQL, NoSQL, AWS, AI, Docker, Kubernetes, Terraform, GitHub Actions, CQRS, DDD, Agile Scrum. Holding over 5 years' commercial experience in software engineering, you will need to show a strong proficiency in building distributed backend systems with high concurrent and data handling using with Golang or Python as your core language.
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Proficiency in Python, SQL, pandas, PyTorch, or TensorFlow. Knowledge of model risk governance and experience collaborating with model validation teams to ensure compliance with regulatory requirements.
$187,000 - $220,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or Scala, and experience with libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, etc. As the AI/ML (Artificial Intelligence/Machine Learning) Manager, you will be responsible for leading a team of AI/ML engineers and data scientists to develop, deploy, and maintain cutting-edge AI/ML solutions.
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Extensive experience with machine learning and deep learning packages (scikit-learn, lightGBM, Tensorflow or PyTorch). Skilled in Programming language (Python, Py spark) and Large-scale training using data structures and algorithms.
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Deep learning experience with frameworks like TensorFlow/PyTorch. Background in ML/NLP with strong Python skills. We're looking for a passionate ML Engineering intern to help us push the boundaries of what's possible with large language models (LLM.
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Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or Hugging Face Transformers. Ph. D. or Master's degree in Computer Science, Natural Language Processing, Machine Learning, or a related field.
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Proficient in Python or R, with familiarity in AI/ML libraries like TensorFlow, PyTorch, LangChain, and LLaMA, focusing on multi-agent systems. Solid understanding of NLP, predictive modeling, statistical analysis, and machine learning algorithms, showcased through a portfolio of innovative AI solutions.
$220,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Experience with Foundation Models, transformer models or Deep learning with their application in a business context.
$136,300 - $400,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Proven experience as a Data Scientist with expertise in Big Data technologies, Hadoop, Tableau, Python, and SQL. Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn.
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Proficiency in Python, with hands-on experience using machine learning libraries and frameworks such as Pytorch, Tensorflow, or JAX. Proficiency in Python, with hands-on experience using machine learning libraries and frameworks such as Pytorch, Tensorflow, or JAX.
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