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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata® development which enables insight generation.
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1+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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The ideal candidate will have extensive experience in deep learning, and natural language processing (NLP). Publications or contributions to the field of deep learning, NLP, or LLMs.
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Machine learning for data enrichment : Experience in applying machine learning techniques to data engineering tasks for data enrichment and augmentation. Mentoring junior data engineers, fostering a culture of learning, and promoting best practices in data engineering.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers.
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Lead Machine Learning Engineer (NLP) (Remote India) Quant Data Engineer. Critical Thinking: Expertise in data-driven analysis of the market and thebusiness. Identifies key business indicators, tests pilots/theories, andidentifies hidden opportunities through data.
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The Data Science team at Infinitus plays a pivotal role in advancing our mission through the adoption of a data-driven methodology for crafting both NLP product and business strategies, establishing and evaluating key performance indicators, and continuously driving improvements to our AI platform.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Java, Scala, and with machine learning and deep learning and Big data frameworks including TensorFlow, Keras, Caffe, MXNet, Spark, Hadoop, and NLP frameworks such as NLTK, Stanford NLP, SpaCy, and others.
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers.
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Solid understanding and hands-on experience with data structures algorithms, machine learning models such as boosting trees, logistic regression, and clustering. Proficient coding skills using Python, Spark, Tensorflow/PyTorch, and other deep learning tools.
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You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customers business and mission problems.
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4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning. Familiar with NLP, CV-related algorithms, technologies, and familiar with large-scale model training and RL algorithms are preferred.
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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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