- UpvoteDownvoteShare Job
- Suggest Revision
Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. Cloud-based services (AWS, Azure) Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Integration Services: Informatica Cloud, Airflow. Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
$95 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). Hands on experience utilizing both supervised and unsupervised ML (Machine Learning) algorithms.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The successful candidate will have a strong conceptual/theoretical and practical/hands-on background in mathematics, physics, artificial intelligence, machine learning (including deep learning), or related area and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, entrepreneurial academic setting.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Professional technology risk certifications (CISSP, CISA, CRISC, CISM) and/or Cloud Certification(s) (CCSP, CCSK, AWS) preferred. Knowledge of Cloud security and controls and cloud technology environments (AWS/Azure, SaaS.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of artificial intelligence and machine learning is preferred. Hands-on experience with a variety of RPA tools and cognitive platforms, including but not limited to Blue Prism, Automation Anywhere, UiPath, Pega, WorkFusion, and Microsoft Power Automate.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Postdoctoral Fellow – Machine Learning: We are seeking talented and driven postdoctoral fellows with experience in machine learning for image analysis to join the computational team of the Center for Large-Scale Imaging of Neural Circuits (LINC) at Harvard Medical School and Massachusetts General Hospital.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with cloud security, including AWS, Azure, or Google Cloud Platform, with specific expertise in Azure Government Community Cloud (GCC) High environments. Preferred certification in one or more Information Security relevant areas such as, Security Professional (CISSP), Cloud Security (CCSP, CCSK.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology. Ph. D. degree in Computer Science, Machine Learning or a related field.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
2 or more professional certifications (SAFe PM/PO, Security+, CCSP, CISA, CRISC, AWS Cloud Practitioner, CISSP) 1+ years of experience working with cloud based or on-prem network security products (WAF, DDoS Mitigation, IPS/IDS, NGFW, VPN, or Proxy.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
I'm working with a pre-clinical biotechnology company revolutionizing the field of antibody discovery through the integration of cutting-edge machine learning (ML) platforms. Job Description: As a Principal Scientist, Antibody Development, you will play a pivotal role in driving our antibody discovery programs from conception through to preclinical development.
Full-timeExpandApply NowActive JobUpdated Today
machine learning hands aws cloud jobs Title: engineer Company: Grotech Search in Boston, MA
FEATURED BLOG POSTS
Is There a Slow Decline of the Labor Market and Wage Growth?
BLS data from January 2023 to March 2023 states that,
Talent Mapping for the Rest of the Year
As you enter the next quarter of 2023, it's important to reflect on how well your talent strategy is aligning with your business goals. This is an opportune time to design or reassess your talent mapping approach, so your recruiting and hiring scheme going forward stays in line with this year's business goals.
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
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.
How to Increase Job Ad Exposure
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.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).