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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Blockchain and Artificial Intelligence to Data Science models, Digital Underwriting, mobile-first applications and more.
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Hands on experience in application development, data, integration, and technology lifecycle management. Experience working on LeanIX platform or any EA governance Platform in the market like Ardoq, ServiceNow APM and PPM, Orbus.
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Big Data Technologies: Hands-on experience with big data tools available in the AWS ecosystem like Athena, Glue, and DynamoDB. AWS Mastery: Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda.
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We are hiring for a Senior Applied Data Scientist with 5 years of experience being hands-on in fine-tuning pre-trained language models for generative AI applications, researching techniques to optimize existing LLM training and model quality, developing and deploying LLMs for a variety of content generation tasks, and keeping up on advancements in NLP and LLMs to better apply novel techniques and methodologies for model improvement.
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Technical and Hands-on proficiency with instrumentation, data acquisition systems, and software (LabView, etc.) Experience with technical disciplines to include but not limited to: Mechanical & Electrical Engineering, Computer Science & Programming, Data Analysis, Flight Testing, and Flight Operations.
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Experience with ML and Data Science techniques, including time series data, nature language processing, developing neuro networks, and Generative AI. Extensive experience within the Data Science life cycle including data collection, cleaning, future engineering and module development.
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Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation. They must have a proven ability to drive business results by creating and operationalizing data science and artificial intelligence products and solutions in support various customer missions within the Federal Government and other Public Sector organizations.
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5+ years of hands-on experience with Python, SQL, and Tableau used on a weekly basis. Bachelor s or master s degree in Statistics, Mathematics, Data Science, or a related field.
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5+ years of hands-on technical experience with extensive background in deep learning networks using TensorFlow, Keras, Caffe, or similar. As a Data Scientist, you will be at the forefront of research and development, focusing on the design, build, train, and deployment of models.
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Hands-on experience with deep learning frameworks (e.g. PyTorch, TensorFlow) and GenAI models (e.g. GPT, StableDiffusion). Experience managing and optimizing Azure cloud data technologies (Synapse, Databricks, ADF, or Azure Data Lake.
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5+ years of hands-on experience with data science, engineering, and analytics tools. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
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Hands-on with deep learning frameworks like Keras, Pytorch, and TensorFlow. PhD or Master's degree in Computer Science, Computational Linguistics, or a related field. Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling.
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5 Common Interview Mistakes
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