- UpvoteDownvoteShare Job
- Suggest Revision
A highly motivated data scientist, machine learning engineer, or experienced software engineer looking to transition into machine learning. 3+ years relevant applied experience in data science, machine learning, computer vision, or NLP (or very strong engineering skills and the ability to learn quickly.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong experience with Python/R, forecasting methodologies, machine learning and statistics. Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The role involves working on patent prosecution cases related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), and machine learning/artificial intelligence with a hardware security emphasis.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Machine Learning Engineer. Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apogee is actively seeking a full-time Artificial Intelligence/ Machine Learning (AI/ML) Subject Matter Expert working for the Department of Homeland Security's Advanced Computing Branch supporting the Department of Homeland Security (DHS) Science and Technology Directorate within the Data Analytics Technology (DTC) in Washington, D.C. This position is fully remote.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Advanced knowledge of cloud computing technologies such as Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Ideal candidate would have industry experience in the field of Artificial Intelligence, Machine Learning, and/or Cloud Computing. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI/ML solutions.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proven experience in applying machine learning and deep learning techniques to agricultural monitoring using frameworks such as PyTorch, TensorFlow, and Scikit-Learn. We offer a workplace that is both casual and professional, and a culture that is committed to learning, fun, and excellence.
Full-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Familiar with artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to help usher in new ways of working that saves time and money while advancing capabilities.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Are you an AI/Machine Learning Engineer who loves to build and implement innovative solutions that create value at scale? If so, you might be the perfect fit for our AI/Machine Learning engineer role at Carlyle.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As the Data Scientist, your skillset will create useful and actionable insight for the customer through the development of machine learning, deep learning models, and related algorithms.
$162,819 a yearRemoteExpandApply NowActive JobUpdated 9 days ago
machine learning jobs Title: electrical engineer in Arlington, VA
FEATURED BLOG POSTS
Decline a Job Offer Professionally: When to Rescind
Your job search has finally paid off! After countless job applications, numerous emails, and several interviews, the hiring manager and other stakeholders have decided that you’re the right person for the job! All you have to do now is accept the offer and walk into the sunset, right?
Resume Job Description Samples - 8 Tips to Follow
When looking for a job, your resume becomes a crucial element. From making a great first impression to showcasing all your achievements and potential, your resume has to portray your professional story in minutes.
Internship Cover Letter Tips with Examples
Until now, college has been about learning, absorbing, and experiencing. It’s not until you become eligible for an internship that things start getting real—real-world experiences using real-life scenarios. Applying for internships takes time, and there’s no college course on “how to apply for jobs.” (We’d sign up immediately if there was, though!) But here's a spoiler alert: most internships require a cover letter. And while this may seem like a burden, it’s actually a blessing.
5 Practical Ways to Remove Bias from your Hiring Process
Many employers think their hiring process is perfect. However, research shows that the hiring processes are generally impartial and unfair, especially if you are part of certain demographics. Women, people of color, people with disabilities, or even people in lower socioeconomic status are more likely to be subject to implicit bias. As diversity and employer branding become major aspects of business, it is important that employers take the lead to identify and remove bias from the hiring process. So, here are 5 practical ways to get you started.
Tips to Get Your First Job Confidently
Whether you’re a recent graduate or you still have a few exams left, you may be itching to put your polished leather shoes on and join the workforce. After all, your first job is an entryway into the professional life you’d lead for the decades to come.
Tips for a Good Character Reference Letter with Examples
Hiring managers love a resume laden with relevant skills and qualifications. Hard skills specific to the role, like SEO strategy or Java programming languages, are easy to qualify using achievements or facts and figures. But how exactly can they verify personality traits, work ethic, relationship management skills, or curious nature during an interview when they barely know you?
Why College Students Should Work While in College?
College is a special part of our lives. It’s a time when we prepare for our dream job while creating some of the most memorable moments in life. That said, college life can also be stressful. Not only do we have to spend long hours studying, writing and researching, but we also have to deal with increased tuition fees and living expenses.