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Familiarity with Apache Kafka, Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools. Familiarity with Apache Kafka, Vector Search, Apache Solr, Elasticsearch, Redis, LLM agents, and other data processing and caching tools.
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Understanding of computer security, basic use of cryptography, and principles of user data privacy. [BONUS] Experience with secure enclaves, hardware-based cryptography, or sensitive data handling on Android and/or iOS.
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Senior Full Stack Software Engineer page is loaded. Delivering the promise of Diversity, Equity and Inclusion. Strong hands on experience in MERN Stack (Mongo, Express, React, Node. Js), JavaScript, Java, HTML5 and CSS3.
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As a Data Engineer, you will be responsible for the strategy and growth of our data infrastructure. Production experience with data platforms and tools such a Airflow, DBT, Kafka, StitchData, and Looker.
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Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success.
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4+ years of experience as a Software Engineer or Data Engineer. We are seeking a self-directed and ambitious Senior Engineer to join our Data team. Senior Data & Software Engineer page is loaded.
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Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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We are looking for a full-stack senior software engineer to join our growing team. As a founding engineer, you'll be wearing many hats across the stack and will interact directly with customers to gather feedback.
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Job description : Ariel Partner is looking for a part time Machine Learning Engineer Consultant. Proficiency in Python with NumPy and SciPy, Pandas, scikit-learn, and Apache Spark for data manipulation and distributed computation.
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We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto. Experience building data pipelines at scale, Airflow and Python preferred.
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To achieve our ambitious goals, we’re looking for a Machine Learning Engineer specializing in NLP to join our Responsible AI team. As a Machine Learning Engineer on the Responsible AI team, you will significantly impact Grammarly and its users by building technology that improves safety and fairness for every single product Grammarly launches.
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As a Senior Software Engineer you will be primarily responsible for designing, building, and maintaining both the front and backend systems. Experience working with SQL or other data storage systems, like ORM, NoSQL, or others.
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We are looking for a Senior Machine Learning Engineer to work on their video stream team to improve the ML models. Experience using ML and data science to build high-performant real-time recommender systems.
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We are seeking a passionate senior software engineer to join our AI & Search Platform team. Experienced software engineer who can design large scale software systems, write high quality code and tests.
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Title: data engineer Company: Unspecified in Pine City, NY
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Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!