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Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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Experience in one of the following areas of machine learning: computer vision, natural language processing, text understanding, pattern recognition, recommendation/ranking systems, or similar.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
$44.42 - $71.05 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as R, Python, and SQL, with experience in data analysis and machine learning tools like PyTorch, Pandas, scikit-learn, Tensorflow, or similar.
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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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To integrate the Solr search platform with AEM Adobe Sites including search pages with multiple search filters and criteria, indexing content, boosting result ranking, multi-language support, geographic location data, signal ranking, natural language, knowledge graph answers, extractive answers, and Large Language Models and Google BERT (Bidirectional Encoder Representations for Transformers.
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Minimum Experience: 2 years of industry experience in dedicated machine learning or data engineering roles, or equivalent to a Master’s degree with strong emphasis in Machine learning.
$115,830 - $129,279 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applied experience in independently building machine learning models using popular ML/DL frameworks like scikit-learn, SparkML, nltk, Caffe 2, Keras, Tensorflow etc. Demonstrated experience with data mining, machine learning, data science and data interpretation techniques.
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At Skit, I worked mostly on generating informed content on the topics of NLP (Natural Language Processing), AI (Artificial Intelligence) and importance of linguistics and language in building more robust Voice AI systems.
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Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication of scientific findings via peer-reviewed publications and scientific conferences.
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Provides services from consulting, design, full engineering, procurement & construction (EPC), and commissioning & start-up for LNG facilities, Floating LNG facilities, gas processing & NGL fractionation, gasification & gas to liquids, hydrogen, and ammonia & fertilizers.
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We are looking for a Machine Learning Software Engineer II to join the Delivery Accuracy team within the Fulfillment initiative. You and your team will own the full cycle of fulfillment-related Machine Learning infrastructure and model development: devising, training, testing, releasing, observing, and optimizing.
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Experience with at least one machine learning framework, e.g. JAX, PyTorch, TensorFlow. We are hiring a Principal Engineer to oversee developing our AI platforms, with a heavy emphasis on large language models (LLMs) such as PAXML. Work with a dedicated group of engineers in a fast-paced production environment to make a tangible impact to Deep Learning Frameworks, particularly JAX. Come join us in these exciting times and make a sizable difference in the exploding world of AI.
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Collaborate with the biosciences team on the targeted acquisition of experimental data to improve our machine learning models. Senior Machine Learning Research Engineer.
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