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Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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2+ years experience in at least one or more of the following areas: Diagnostic Imaging Post-Processing to include 3D reconstructions and analysis, Radiology Data migration and curation, Augmented Reality/Virtual Reality program development and modeling, CAD and 3D printing, computer programming, and/or big data/machine learning/artificial intelligence.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence.
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To learn more about Mission Technologies, click here for a short video: Job DescriptionMission Technologies, a division of Huntington Ingalls Industries, is looking for an Industrial Security Analyst 2 to support the Joint Force Development Research and Analysis for Joint Staff J7(JS J-7) contract at our Suffolk, VA Joint Staff Complex.
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We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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We are at the forefront of artificial intelligence research and development, akin to the most renowned AI labs in the world. Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka.
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Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data.
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Understanding of Big Data Technologies is preferred, especially on Databricks implemented in AWS Cloud infrastructure. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
$110,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About Our Firm: We are at the forefront of artificial intelligence research and development, akin to the most renowned AI labs in the world. At least 3-4 years of experience in a full-stack development role, ideally within an AI-focused organization or a tech-forward research entity.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Illustrative technologies or fields that the incumbent would be familiar with include big data, artificial intelligence/machine learning, open APIs, digital IDs, cloud computing, 5G, internet-of-things (IoT), distributed ledger technology, and others.
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You have experience in one or more of the following- big data, machine learning, artificial intelligence, experimentation, data analytics. This role is a special opportunity for someone who enjoys quantitative and qualitative research to derive customer insights, likes to inform future product development and strategy through building relationships with customers, and appreciates working closely together with our product, commercial and marketing teams to deliver on solutions.
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Document all phases of research and development for future reference and scalability. Lead the development of both client-side and server-side architecture, ensuring optimal performance and user experience.
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Stay ahead of the curve in the latest developments in AI, machine learning, and software development practices. Architect, build, and maintain scalable multi-tiered systems to handle complex data workflows and integration pipelines.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today
artificial intelligence research development big data jobs in Aurora, Illinois
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
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Recruitment strategies that are weird, but actually work
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