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There is an abundance of challenging work here from major corporate clients, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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As a Software Embedded Engineering Architect, you’ll gain experience as an embedded software architect with strong data science skills and have the opportunity to develop and deliver enterprise-grade Artificial Intelligence (AI) and Machine Learning (ML) solutions across the client devices portfolio.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Experience in programming language Java and understanding of the software development life cycle. REQUIRED SKILLS For Java /Full stack/Software Positions.
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C#, java, perl, php, sde, software development engineer. or software programming. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience.
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We are seeking an experienced and dynamic Staff Engineer to help foster innovation in Machine Learning and AI at H-E-B. The ideal candidate will have 5-7 years of hands-on experience as an individual contributor, possessing a strong background in Data Science or AI teams with exposure to MLOps practices.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Demonstrated expertise programming in MATLAB and Simulink; and implementing the data science workflow, including applying statistical techniques and machine learning algorithms to support data model architecture.
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System design and software implementation of proof-of-concept prototypes incorporating a variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization.
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Collaborate with product, engineering, and data science teams to define strategic goals and establish a roadmap for search product development. Collaboration will be key, as you will work closely with cross-functional teams, including engineering, product, and data science, to ensure a seamless and effective search experience for our users.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft, to credit card fraud, to money laundering, and more.
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software engineering machine learning data science jobs Title: software
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