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Sr Data Science/Azure ML Engineer

Data ScientistDuration: 12 monthsLocation: San Antonio, Texas Or Findlay, OhioProject: Azure MigrationPosition SummaryWe are seeking a highly skilled and experienced Sr. Machine Learning Engineer / Data Scientist to join our dynamic Data Science and AI team. In this role, you will be instrumental in transforming data into actionable insights and innovative solutions, driving forward our business strategy. You will leverage advanced machine learning, statistical techniques, and analytical prowess to solve complex business challenges, collaborating closely with cross-functional teams to design, develop, and deploy scalable AI-driven models and algorithms.Required skills: 5+ years\tR\tPython\tAzure DataLakes/ Machine Learning\tML OPS\tDeep Learning/Neural Networksif interested send resumes to rcasseb@apexsystems.comKey Responsibilities\tEngage in the ideation and prototyping of new solutions to meet emerging business requirements.\tDesign, develop, and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.\tUtilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.\tCollaborate with data architects, data engineers, and software developers to ensure effective data collection, processing, and storage.\tPerform exploratory data analysis to identify patterns, insights, and communicate findings.\tOptimize model performance, addressing issues such as overfitting, underfitting, and bias.\tStay abreast of the latest in machine learning research, applying new methods to enhance model performance.\tContribute to the creation and improvement of reusable machine learning libraries, tools, and frameworks.Desired Skills and ExperienceRequired Skills:\tMaster’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field, with 5+ years of relevant experience.\tExpertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).\tDeep understanding of ML algorithms (supervised, unsupervised learning, and deep learning) and their applications.\tStrong problem-solving, critical thinking, and analytical capabilities.Technical Proficiency:\tProficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions.\tApplied knowledge in specialized areas such as NLP, computer vision, reinforcement learning, and Generative AI, including Large Language Models.\tExperience with both relational and non-relational databases, time-series data, graph databases, and knowledge representation techniques.\tExperience or familiarity with data network visualization techniques to analyze complex data relationships and patterns.\tFluency in advanced analytics tools, demonstrating a robust ability to perform complex quantitative analysis.Preferred Experiences:\tDemonstrated ability in data cleansing, preparation, featurization, and employing Agile development methodologies.\tA track record of innovation and collaboration in developing data-driven solutions and insights.Communication and Collaboration:\tExcellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders clearly and effectively.\tA strong team player mindset, capable of working collaboratively within diverse teams and contributing to an inclusive work environment.Continuous Learning:\tA pronounced passion for continuous learning and staying ahead of the curve in AI and ML fields, with enthusiasm for applying new technologies to solve real-world problems.Why Join Us:Join our cutting-edge Data Science & AI team and contribute to the future of AI/ML technology! In this role, youll leverage Azure to drive innovation and operational excellence in our AI/ML initiatives.Heres what you can expect:\tBe at the forefront of AI/ML advancements, applying your skills to solve real-world problems.\tCollaborate with a talented team of Data Scientists, ML Engineers, and cloud experts.\tWork in a fast-paced environment that fosters continuous learning and growth.\tMake a significant impact on the companys success through the power of AI/ML.if interested send resumes to rcasseb@apexsystems.comEEO EmployerApex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com or 844-463-6178.
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
August 24, 2024

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