- UpvoteDownvoteShare Job
- Suggest Revision
2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) 2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Role: Data Engineer - Machine Learning. Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
DATA STRUCTURES AND ALGORITHMS 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
The team also owns our Streaming Platform that is build using FlinkAs a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Qualifications: Extensive experience in data engineering, data analysis, and machine learning. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in machine learning techniques, classification, clustering, and deep learning. Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-learn.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Interest in machine learning, finance and open source technologies. Java, Scala, Python. Streaming Data Initiative using C. Someone who has worked on the delivery of high volume data.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Solid understanding of machine learning life cycle, data mining, and ETL techniques. Develop, test, and maintain robust tools, frameworks, and libraries that standardize and streamline the data & machine learning lifecycle.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We’re rethinking medical billing from the ground up, building software backed by best-in-class data science (and, soon, a dash of machine learning) to automate much of this complexity so healthcare providers can get paid dramatically more easily and inexpensively.
$150,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX. As a Senior Machine Learning Engineer specializing in Conversational AI, you will play a pivotal role in architecting, developing, and deploying state-of-the-art models to power our conversational AI product suite.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work closely with Data Science / Machine Learning team to design, code, train, test, deploy and iterate on large scale machine learning systems. You will be part of an energetic Data Science/Machine Learning team, to drive planning and a cohesive set of technology and machine learning solutions enabling data and platform transformation, by collaborating across all channel teams and the critical technology platforms that support Colleague and Customer Experiences.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in data science platforms like SageMaker/Machine Learning Studio/ H2O. Data Engineer Responsibilities: ETL, Advanced SQL, UNIX/LINUX/ Python and Data Cloud.
Full-timeExpandApply NowActive JobUpdated 17 days ago
machine learning python jobs Title: data engineer in Newark, NJ
FEATURED BLOG POSTS
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.