- UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear, predictive analytics (e.g. deep learning, econometrics, time series/forecasting, vehicle routing, and related skills.
$150,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
RemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
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
- Suggest Revision
7+ years experience in designing and developing ML, deep learning, NLP, generative AI solutions for real-world applications, with a focus in Healthcare applications. Strong knowledge of data science tools, ML frameworks and algorithms, and programming languages such as Python, R, SQL, and experience with cloud platforms (AWS and/or Azure.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in Python, and experience with machine learning frameworks such as PyTorch or TensorFlow. Knowledge of state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Ability to communicate technical details to nontechnical stakeholdersStrong machine learning background in Python; experience with Spark, PyTorch or TensorFlow. Leverage computer vision, NLP, GenAI, entity resolution, Deep Learning to create the best Consumer facing menus for Merchants.
$255,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
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 27 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Machine Learning: Deep understanding of machine learning theory, including the mathematics underlying machine learning algorithms. In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
$234,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with Deep Learning frameworks such as Pytorch, Keras, Tensorflow. Demonstrated breadth and depth in knowledge and applications of machine learning algorithms in classification, regressing, recommender systems, clustering, deep learning.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Net ¬タᄁ Excellent analytical and problem solving skills ¬タᄁ Deep understanding of Capital Markets with focus on Credit Risk, Market Risk or Capital calculations ¬タᄁ Understanding of regulations within the Capital Markets space (Basel, CRR, CRD IV etc) ¬タᄁ Attention to detail and self-starter, with an ability to identify risks and issues and suggest improvements.
ExpandApply NowActive JobUpdated Today
deep learning python jobs in Hoboken, NJ
FEATURED BLOG POSTS
Tightening the HR budget in 2023
With the state of the economy still uncertain, 2023 is expected to be approached with much anticipation. Human Resource leaders have many concerns, including how they will manage to accomplish their goals with budget belts already getting snug. Let’s look at some of the factors that the new year is projected to bring for HR and how to prioritize budgets to reach human capital objectives.
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.