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Proficiency in data structures, algorithms, and statistics A current enrollment in a PhD or Master's program specializing in machine learning, computer science, statistics, or a related fieldUsed Python packages to extract, structure, classify, and analyze data Knowledge of the theory and practice of standard NLP tasks and modelsA passion to learn and improve within the company and share knowledge with colleaguesBonus points if you have.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Develop, optimize, validate, and deploy statistical and machine learning algorithms (e.g. GLM, Naïve Bayes, time series, random forests, neural networks, clustering, NLP, GAN, LLM.
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Experience in programming, artificial intelligence, machine learning, and data visualization tools. Partner with Data Scientists to train, test, and refine machine learning models on use cases to deploy into production.
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The Data Scientist is expected to pull data from source systems; explore, validate, clean, and transform the data; leverage a wide range of algorithms and analytical approaches including Business Intelligence (BI), Machine Learning (ML), Natural Language Processing (NLP) and Artificial Intelligence (AI); deliver intelligence with full reproducibility; test and deploy the intelligence products following MLOps and DataOps best practices; and communicate results and insights to key stakeholders.
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Experience deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc. Domain expertise with NLP: data extraction, document summarization, generative AI, etc.
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You will work closely with data scientists, software engineers, and DevOps professionals to ensure the seamless integration of machine learning solutions into our products and services.
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Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types.
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Experience working on projects related to AI, Machine Learning, Data Science, LLMs, GPTs, NLP or other relevant subject matter. GPTs, LLMs and NLP are areas of particular interest in AI in this role.
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Machine Learning/Data Science. Ph. D. in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math. Master's degree in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math.
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As a Principal Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.
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Assists in identification and implementation of innovative technology solutions within the Firm. Assists in championing current and “next generation” technologies, such as predictive modeling, natural language processing (NLP), large language models (LLM), and machine learning to advance and optimize firm practice areas and administrative departments.
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Experience with modern NLP techniques, especially as relevant to data extraction and document summarization. De monstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
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Strong knowledge of traditional machine learning, with experience in NLP and deep learning considered advantageous. + Lead end-to-end machine learning projects, ensuring adherence to scientific best practices.
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Experience in the python data and machine learning ecosystem, including experience with pytorch. Demonstrated experience training and deploying machine learning models with a preference towards NLP applications.
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data machine learning nlp jobs in Chicago, IL
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