- UpvoteDownvoteShare Job
- Suggest Revision
Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with hands-on experience in developing and deploying AI solutions. Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI Engineer) are advantageous.
Full-time/part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking a skilled Software Engineer to join our Data Management team in Austin, TX. This role offers an exciting opportunity to work on building tools and infrastructure for large-scale data collection, storage, and analysis to support machine learning and business operations at Apptronik.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Care, using machine learning and natural language processing to change how patients. Model Testing: Collaborate with the Data Science team to test machine learning models and ensure accuracy and performance.
Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Engineer on our ML Platform team, you will help evolve our Machine Learning platform to support hundreds of models. You must have hands-on experience developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring.
$154,440 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with machine learning and artificial intelligence techniques for data analysis. Amazon Web Services (AWS), a subsidiary of Amazon.com and a leader in cloud computing, is seeking a Full Stack Software Development Engineer to join our AWS Marketing Insights team on building a Marketing Intelligence Portal.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Applying artificial intelligence, including machine learning and generative AI. But days in-office include snacks, drinks, a weekly catered lunch, and access to a full gym and game room on campus.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines. Significant experience in data mining, machine-learning and operations research.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models. Ph. D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Deploy machine learning models to cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. 15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
$266,050 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience on AWS Bedrock AI models. Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure. Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
$135,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Can demonstrate knowledge of the Analytics industry, the Analytics continuum from standard/operational reporting to advanced/augmented analytics inclusive of an understanding the basics of data science & machine learning.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our team builds distributed, scalable, and highly available systems that make Machine Learning (ML), LLM, Econometrics/Statistical/Causal models run faster in a CI/CD fashion. The People eXperience and Technology (PXT) Central Science Team uses economics, behavioral science, statistics, Machine Learning, and LLMs to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Leveraging the world’s largest energy efficiency dataset — over 1 trillion data points and counting — our team marries decades of industry experience in design, construction, and maintenance of building energy systems with machine learning and advanced thermodynamic simulation technology to provide the real estate industry’s most effective solution for optimizing building performance and maximizing invested capital.
Full-timeExpandApply NowActive JobUpdated 19 days ago
machine learning on aws jobs in Austin, TX
FEATURED BLOG POSTS
A Comprehensive Guide to Becoming a Better Conversationalist
Have you ever stood awkwardly next to someone at a party because you didn’t know what to say to them? How about at a networking event or on a first date? You're not alone if you’ve ever experienced this uncomfortable silence. Many people struggle to master the art of being a great conversationalist.
Why is Non-Verbal Communication Really Important?
In a world where words and phrases rule daily communication, you may wonder why non-verbal communication is important. Whether you realize it or not, you communicate more with nonverbal actions than you do with verbal communication. When you interact with your peers, people are reading your body language, facial expressions, voice, and many other factors that help fill in blanks that words can't fill.
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
How Can HR Technology Help Retain Employees?
Human resources' rapid adoption of technology has led to new ways of streamlining human capital management. Based on the IEE Global Study, these technologies changed how HR handled recruitment and retention in 2022. This includes tech like
Why is Time Management Important? 10 Crucial Importances of Time Management
We’ve all been there before. What starts as a relaxing evening scroll quickly becomes a full-blown binge. You blink, and it’s midnight - throwing off your entire next day before it even starts. And at its worst, this indulgence might leave you feeling behind on things you planned to finish that night. This is why time management is important.
Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that