{"schemaVersion":"jobsearcher.job.v1","id":"b19cbfb58a71b93dbcee9332","url":"https://jobsearcher.com/jobs/b19cbfb58a71b93dbcee9332","canonicalUrl":"https://jobsearcher.com/jobs/b19cbfb58a71b93dbcee9332","title":"Senior Python Engineer","description":"Master’s degree/bachelor's degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.Required EducationMaster’s degree/bachelor's degree in computer science, Data Science, Statistics, Mathematics, Engineering or related field.Required Qualifications/Skills/Experience5+ years of industry experience as a backend Python developer or data scientist.5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iterationStrong background of ML/DL/LLM algorithms, model architectures, and training techniquesProficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languagesProficiency with tools and LLMsAbility to work independently and collaboratively within a team.Preferred Qualifications/Skills/ExperienceExperience in GenAI/LLMs projectsFamiliarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL)Background in financial business, like banking, risk managementShould be familiar with capital markets, financial instruments and modelingOverviewThis is a development position for establishing and implementing new or revised applications and programs in the Technology teamResponsible for data extraction and data analysis from structured and unstructured sourcesDevelop systems to clean results to build predictive and prescriptive models and implement them in a production environment by partnering with technology and business partnersAddress complex problems involving financial data with a specific focus on credit risk managementRequires an open and adaptive mindset to learn new and advanced models in LLM and GenAI and bring in innovative solutions to complex business problemsJob DutiesDevelop plans and coordinate with teams for all analytical effortsManage deliverables in an agile environment and maintain clear communication with all model stakeholdersPresent status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc.Data modelling and cleaning from internal and external sourcesBuild predictive and prescriptive models by manipulating and cleaning resultsDevelop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using the SDLC processImplement features through the ML lifecycle (Development, Testing, Training, Production, Monitoring/Evaluation) to ensure scalability and reliability.**Only those lawfully authorized to work in the designated country associated with the position will be considered.****Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**About RoseFounded in 1993Office Locations Across the U.S.150+ Clients: Corporations and Government AgenciesEmployee Oriented CompanyChallenging Assignments Across the U.S.Continuous Professional DevelopmentEMPLOYEE COMMENTSWe want you to work with us, but don't take our word for it. Take a look at this sampling of employee comments. 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