- UpvoteDownvoteShare Job
- Suggest Revision
Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Apply familiarity and skill with additional programming languages (e.g., Python, R), statistics, machine learning tools, data structure, data modeling, cloud computing, MS Azure, and Databricks to expand and enhance surveillance data value.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
This position also requires a strong technical acumen and familiarity with Artificial Intelligence/Machine Learning software solutions and GTM experience for enterprise SaaS applications.
$220,200 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience: 5+ years of experience developing, training and deploying machine learning models in support of commercial software applications, preferably those focused on cybersecurity, computer vision or audio signal processing.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with generative AI, natural language processing, and/or machine learning methods. They will perform data cleaning and automated scripts, analyze textual and numerical data, and may utilize various tools to deploy generative AI, natural language processing, and machine learning workflows.
$132,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Computer Science-software engineering, machine learning, and artificial intelligence. Special consideration will be given to candidates in software engineering, machine learning, and artificial intelligence.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for multiple levels of machine learning engineers who are passionate about building production machine learning products with a world-class team headed up by Matyas (lead early and foundational teams at Quora and Uber.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our team of data analysts and data scientists help transform the controllership and treasury organization by leveraging technologies such as artificial intelligence and machine learning to build capabilities that lead to increased efficiency and impact decision making.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within Customer’s org.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. Participate in all aspects of the software development lifecycle for AWS solutions, including planning, requirements, development, testing, and quality assurance.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Natural language processing, sentiment analysis, machine learning. Our goal is to improve the state of the art even further in key business processes for a distributed team: hiring, collaboration, communication, learning, documentation, development, and open source development.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation. Deep learning, NLP, REST API.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Sourcing aimed at supporting adoption and rationalization of technologies requiring technical expertise in emerging industry technology categories such as 3rd party/hybrid/on- premise cloud, Artificial Intelligence and Machine Learning (AI/ML) SW, Radio Access Networks, Next Gen Business Support Systems, Automation, transformational SaaS and PaaS, disaggregated network solutions, data warehouse and analytics.
Full-timeExpandApply NowActive JobUpdated 25 days ago
machine learning software jobs in Atlanta, GA
FEATURED BLOG POSTS
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.
Why is Professionalism Important & How to Be Professional
You might have heard the word professionalism thrown around in the workplace, but do you know what it means? And do you know how to maintain professionalism no matter the circumstances?
Hiring Again After Mass Layoffs
It's never an easy decision to let members of your staff go, but depending on the state of your business, mass layoffs may have been the only way to survive. Now that you're months into the future, you may find yourself itching to start hiring again after previous layoffs.