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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)Primary Location.
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Strong understanding of machine learning principles, especially in the context of LLMs. 5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch Skills in Java/scala (preferred) Experience building scalable deep learning systems.
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Experience with Machine Learning tools (Tensorflow, Apache Spark) Demonstrated experience with popular software stacks e.g. Python-Django, Ruby on Rails, LAMP. Demonstrated ability to develop and debug code written in C, PHP, Ruby, Python, Perl, Bash, JavaScript.
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Hard SkillsProficiency in core programming languages and data science packaging: Python, Keras, Tensorflow, PyTorch, Pandas, Jupyter, etc. Experience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc.
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MATLAB, Python, DL framework (TensorFlow, PyTorch, Keras) Solid understanding of HDR image sensor technologies and applications and Experience in embedded system architecture and development.
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Proven Python and deep learning programming framework, e.g. TensorRT, Pytorch, TensorFlow, Keras, or similar. Experience with CUDA and deep learning inference acceleration. Proven Python and deep learning programming framework, e.g. TensorRT, Pytorch, TensorFlow, Keras, or similar.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong proficiency in Python programming and popular Client/NLP libraries such as TensorFlow, PyTorch, NLTK, spaCy, etc. Machine Learning Engineer with a strong background in Machine Learning (Client) and Natural Language Processing (NLP.
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Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow. Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow.
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Strong understanding of machine learning principles, especially in the context of LLMs.5+ years of proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch.
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Proficiency in Python and ML toolkits such as PyTorch or TensorFlow. If you want to amplify your strong ML and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity.
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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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Strong programming skills using standard ML tools such as Python, PyTorch, Tensorflow along with Swift, Objective C, or C. Proficiency with iOS, macOS or other operating systems such as Unix/Linux.
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Must have 2 years of experience in coding in Python; at least one or more of the following: Natural Language Understanding, Natural Language Generation, Intent detection, topic modeling and segmentation, training/fine tuning large language models, transformer; Machine Learning toolkits such as (TensorFlow, PyTorch, Spacy, etc.
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Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. Proficiency in programming languages relevant to AI and machine learning, such as Python. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
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Proficiency in Python, and experience with ML frameworks such as PyTorch , TensorFlow, or similar. Design a re presentation suitable for S elf- S upervised L earning on data across the entire SAP application and process portfolio.
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