- UpvoteDownvoteShare Job
- Suggest Revision
In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
- Suggest Revision
At least 10 years of industrial/academic experience advancing the state of the art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Amida is currently looking for a Data Scientist to join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
$200Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
- Suggest Revision
Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Preference for experience working with geospatial data (SQL PostGIS, Python GeoPandas, ArcToolbox Deep Learning, etc.) 2 years of experience in natural language processing.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata development which enables insight generation.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) Experience using natural language processing techniques preferred.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Engineering, Information Systems, Information Technology, Internet of Things, Quantum, Applied Math, Data Sciences, Decision Science, Machine Learning, or other technology majors.
ExpandApply NowActive JobUpdated Today
machine learning natural language processing python sql applied mathematics jobs Company: Target in Arlington, VA
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.
How to Write a Short Bio
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.
How to Conduct a Performance Review (With Examples)
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.