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Deep Learning Data Science Manager. 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address.
$339,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep knowledge around the proper application of causal inference techniques (A/B testing, diff-in-diff, synthetic control, geo-based experiments), hypothesis testing, statistical/econometric modeling (hierarchical Bayes, fixed/random effects, survival analysis, latent class modeling, non—random treatment effects, endogeneity correction), univariate and multiple time series analysis (ARIMA, VAR, State-Space), supervised and unsupervised machine learning models.
$264,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of data center hardware technologies such as Compute Nodes, Network and Connectivity Devices and Storage DevicesHands-on experience with Terraform, Ansible, and similar orchestration and automation tools.
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Join a cutting-edge and well-funded hardware startup in Silicon Valley as a Deep Learning and Large Language Model Performance Architect. Work with cross-collaborative teams of deep learning software engineers and hardware architects to develop innovative solutions.
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Deep knowledge of B2B and Consumer marketing and sales funnel metrics, as well as demand generation best practices. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression.
$191,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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7+ Years of experience in machine learning, neural networks, deep learning or related fields. Experience with Python for developing machine learning pipelines using scikit-learn or R.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Time series Analysis Different algorithms like Decision Tree and Random Forest algorithms, Support Vector Machine Algorithm Deep Learning and Computer vision Neural Networks, Tensor Flow and Keras Natural language processing (NLP) and Text mining Market Basket Analysis NLP with Python, Sentiment analysis Linear regression, Scikit Learn, Confusion matrix, Decision tree, Ensemble approach Random forest, Cross validation.
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The ideal candidate will have strong strategic acumen, a deep understanding of and experience with AI and machine learning applications in business, and proven ability to lead transformative projects from concept to execution.
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Experience using deep learning libraries such as TensorFlow or PyTorch. Experience in data analysis, machine learning, deep learning and statistical modeling. Master's degree in Data Science, Computer Science, Statistics, Computational Social Science, Communication Studies, Political Science or a related field OR Bachelor's degree with at least 2 years of related experience.
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To accelerate our customers transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve.
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Learning Design: Apply adult learning theory and instructional design principles to develop a world-class technical enablement program. This role requires a strategic thinker with a deep understanding of the Atlassian portfolio spanning ITSM, Agile + Dev Ops, & Work Management technologies and a serious passion for enabling others.
$230,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In addition to being a great place to work, BOXX is the leading innovator of high-performance workstations and rendering systems for visual effects, animation, product design, engineering, architectural visualization, artificial intelligence, deep learning, and more.
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Our mission is to revolutionize retail intelligence through cutting-edge technologies, including deep learning artificial intelligence, offered as both Data as a Service (DaaS) and Software as a Service (SaaS.
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deep learning jobs in Austin, TX
FEATURED BLOG POSTS
The Best Remote Jobs: Where & How to Find Them
The Covid-19 pandemic hasn’t been easy on any of us, but if there’s one silver lining, it’s the fact that remote work has grown in popularity because of it. Companies that previously weren’t open to their employees working remotely were suddenly forced into allowing it. Since then, they've realized that much of their workforce is happier and more productive. Naturally, this has led to more remote job openings, which is great if you’re interested in this type of position. Read on to learn more about the best remote jobs and where to find them.
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.
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First impressions can be tricky. When meeting someone in person, it’s likely you have an elevator speech. These short, practiced introductions can help you share more about who you are, what you do for work and other facts about you. While this works well in a live, in-person context, there are many cases where professionals “meet” someone via written form - like social media, a resume, or published work. In these cases, your bio works as your first impression. So, here’s a step-by-step guide on how to write a short bio.
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In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
How to Recruit Passive Candidates
Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
How to Effectively Recruit Employees
Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.