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We are seeking a talented and skilled Machine Learning Scientist II to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care.
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Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
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Build predictive models and machine learning algorithms to derive insights from HR data. Portland General Electric (PGE) is seeking a talented Data Scientist to join our Workforce Planning Team. This role is pivotal to executing the HR Organization’s data strategy which is designed to align HR practices with business priorities, help solve business problems through informed decision making, and prepare the future workforce by responding to changing workforce dynamics.
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As a machine learning engineer, you should demonstrate solid data science knowledge and experience. Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems.
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As an early career water resources engineer (or engineer-in-training) or scientist in our water resources and engineering practice in Portland, OR, you will apply your academic knowledge and practical experience to real-world situations related to surface water systems, water supply, regulatory compliance, resource management, engineering, and planning while also learning and expanding your business skills for a successful consulting career.
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Conduct advanced analytics, leveraging predictive modeling, machine learning, simulation, optimization and other techniques, to deliver insights or develop analytical solutions to achieve business objectives within your assigned area of focus.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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C#, computer science, javascript, machine learning, photonics, python, software. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
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Familiarity with database, pipeline and machine learning tools offered by AWS and/or GCP. You’ll engage in hands-on development, productizing, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data.
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Familiarity with MATLAB is a valuable addition, particularly in applied machine learning. Conduct applied machine learning on large datasets to derive actionable insights. Job Title: Data Scientist- Strong Data Modeling.
$55 an hourFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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PhD in Computer Science or Computer Engineering with focus on Computer Architecture or Machine Learning preferred. Knowledge of and experience with machine learning literature, model selection, tuning, and explain-ability.
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Leverage your knowledge of MLOps (Machine Learning Operations) to streamline the deployment, monitoring, and management of machine learning models and collaborate with data scientists and engineers to create robust pipelines for model training, testing, and deployment.
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We are looking for someone who is detail oriented, passionate about AI and Machine Learning and thrives on experimentation to find the most desirable outcomes. Our company has multiple existing AI and machine learning base features and functionality integrated with our platform that we offer to our customers today.
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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.
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.
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).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.