- UpvoteDownvoteShare Job
- Suggest Revision
Data Scientist (Artificial Intelligence/Machine Learning), 722001800. Applies core data science techniques such as machine learning, statistical learning, data mining, data wrangling, data discovery, model training/testing, and model deployment/monitoring to solve DLA business problems.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expedia Group is looking for a Machine Learning Scientist to join our Flight Search Machine Learning team. Formulate machine learning problems, build data ETL pipeline, conduct exploratory data analyses, and develop effective models.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of machine learning, data science, software development, and/or similar experience, with significant contributions that you can talk to. Create, design, and deploy ETL and ELT flows for consuming from disparate sources of 3rd party data for various machine learning applications.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong knowledge of probability, statistics, and machine learning for time-series data. Keywords: Chicago IL Jobs, Quantitative Researcher, Python, Machine Learning, C.
Full-timeWork from homeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Hands on experience working in an infrastructure managed services environment, supporting complex engineered solution in production with Artificial Intelligence/Machine Learning/High Performance Compute Systems and Platforms, Converged/ Hyper-Converged infrastructure along with fluency in AI/ML pipelines, Nvidia GPU optimization, InfiniBand networking, Machine Learning operating systems such as cnvrg.io, Compute Orchestration Platform such as runai etc.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Solid knowledge of machine learning concepts, including deep learning, optimization algorithms, regularization techniques, transformer architecture. Experience building and bringing to practical use, knowledge graphs and graph-based machine learning models.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI. Many CHALLENGING and exciting projects with new opportunities and learning.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The AI Machine Learning Scientist is in charge of using Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Advanced knowledge of information security and systems, application controls and emerging technology utilization including but not limited to artificial intelligence, machine learning, deep learning, advanced process automation, cloud and application program interfaces.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
machine learning jobs Title: sr data scientist Company: Microsoft in Chicago, IL
FEATURED BLOG POSTS
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
How to Get a Union Job? A Step-by-Step Guide
A union job can significantly impact your job security, pay, and employment benefits. Whether this is your first job or you have years of experience, a union job can offer much-needed protection in a labor market where employees are hired and fired at will.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.
How to Decide Between Two Job Offers: 10 Practical Tips
It’s arguably a good predicament to have. You’ve applied to many jobs, interviewed multiple times, and now find yourself with two legit job offers. Nice! But although this is a feel-good validation of everything you have to offer, a daunting choice lies ahead. How do you decide which job will be the best fit for you?