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Experience working with ML/AI products and techniques pertaining to natural language processing, such as optical character recognition, document classification, named entity recognition, machine translation, etc.
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Strong knowledge of machine learning algorithms, deep learning frameworks, and natural language processing techniques. Proficiency in programming languages commonly used in AI development, such as Python.
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Evaluate and implement advanced machine learning techniques, such as deep learning, natural language processing, and reinforcement learning, to address business challenges. This role requires a strong background in data science, proficiency in Python, Machine Learning, AWS, exceptional analytical skills, and the ability to translate technical findings into strategic recommendations.
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Develops and applies all aspects of the use of natural-language processing (NLP) in software. Performs data mining using tools such as SQL and MS Access connected to databases such as Oracle, SQL Server, and My SQL and applies appropriate programming languages such as Python, Java.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Apply AI and ML techniques to improve the application functionality and usability, such as natural language processing, deep learning, or chatbots. Proficiency in programming languages like Java, Python, SQL, Go, Rust and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Nomad and Kubernetes.
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Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing.
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Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence, and natural language processing.
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Experience in Natural Language Processing (NLP) Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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Train, validate, and fine-tune AI/ML models using various techniques such as deep learning, reinforcement learning, and natural language processing. Proficiency in programming languages such as Python, with hands on experience in AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn.
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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Solid understanding of machine learning concepts and recent natural language processing techniques.
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, and UI design.
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Key QualificationsIn-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing systemsStrong coding and software engineering skills in a mainstream programming language, such as Python, Go, C/C.
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Natural Language Processing: Knowledge and experience developing end-to-end NLP methodologies for sentiment analysis, text classification, topic modeling. 1+ years of experience in Natural Language processing methodologies.
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