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The Research and Technology Center North America (RTC-NA) provides technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
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As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, their people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
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PSC advances science across a wide spectrum of fields, including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. The successful candidate should have the ability to design, implement and maintain full stack web applications using technologies such as: Python Django or Ruby on Rails.
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Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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Machine Learning Engineers at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges.
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Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$88,800 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.
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As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale. Machine Learning development experience. As a Machine Learning Engineer, you’ll develop ML-based metrics for evaluating an autonomous vehicle system offline at large scale.
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We are seeking candidates with expertise in machine learning (especially deep learning) and network approaches, to work on systems immunology research funded by a NIAMS P50. The ideal candidate will have requisite machine learning (especially deep learning) and network analysis skills.
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Must have any experience with each of the following: (1) Data Science, Artificial Intelligence, Big Data, and Machine Learning; (2) Azure Databricks, allowing for creating scalable and collaborative data analytics workflows using Apache Spark; (3) working with React JS, Angular JS, and Vue JS frameworks, including HTML and JavaScript, to develop interactive web applications; and in the following programming languages (Python, Java, C.
$89,318 - $114,240 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with technical subjects (e.g., large language models, machine learning, computing hardware, Artificial Intelligence safety, biological design tools, biosecurity, cyber security, defense innovation, technology and acquisition, defense cost analysis, etc.
$49,200 - $67,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Reports To: The Lockbox Processing Clerk will report to the Service Delivery Supervisor, Service Delivery Manager, or equivalent leadership. Full-Time Benefit Offerings: Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, 401k w/ matching, Entertainment Discounts, & Paid Time Off.
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Artificial intelligence/machine learning/data science (e.g., large language models, ML.NET, pandas, scikit-learn, pytorch, tensorflow, R, etc.) To achieve this, we develop and integrate innovative tools and processes to enable teams of cybersecurity professionals to exercise and assess the effectiveness of emerging human-machine-teaming capabilities.
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The Pittsburgh Penguins are currently seeking a Business Intelligence & Data Analytics intern for the fall of 2024. Preferred Technical Skills: Familiarity with business intelligence platforms (e.g. Tableau, Power BI, Looker, Domo.
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machine artificial intelligence jobs Title: associate in Pittsburgh, PA
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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
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.