- UpvoteDownvoteShare Job
- Suggest Revision
10+ years relevant industry and functional experience in Database and Cloud-based technologies Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Designs and implements data engineering solutions batch and streaming data processing/ingestion pipelines, data migration, modeling, and analytics and Artificial Intelligence/Machine Learning (AI/ML) model builds.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Object oriented Python programming and solid experience with machine learning libraries - Pandas, NumPy, Scikit-learn, TensorFlow, etc. Fidelity’s Financial Intelligence Unit is looking for a data technologist to join our Cyber Fraud Investigations team.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expertise with relational databases, Splunk, Snowflake, YugabyteDB, Aerospike, S3 and similar data management platforms. Familiarity with quantitative techniques and methods, statistics, econometrics – including probability, linear regression, time series data analysis and optimizations.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking a highly skilled and experienced Principal Machine Learning and Data Science Engineer to join our dynamic and passionate team. Utilize Google Cloud Platform (GCP) services and tools for data storage, processing, and machine learning model deployment, leveraging Google Cloud AI/ML services, BigQuery, Dataflow, and other GCP services to build scalable and efficient data science solutions.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Partner with stakeholders to drive data needs across: analytics, machine learning, data science, and master data management. As we look towards 2023 and beyond, data is a key strategic component across the company - from advanced, real-time machine learning to business intelligence and data governance.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for an experienced Principal Data Engineer with a strong background in machine learning and a proven track record in the AdTech sector. Ensure data privacy and compliance standards are met in all data engineering and machine learning initiatives.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning development and data engineering. Ensure the security and compliance of machine learning platforms, implementing best practices for encryption, data protection and access controls.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Principal Engineer on the Data Platform team, you’ll be driving an acceleration of product development, machine learning, data science and more by providing world class data infrastructure and self-service tools.
$230,000 - $290,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Bunge has an exciting opportunity available for a Principal Data Engineer.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We are looking for an experienced Senior Principal Data Engineer to architect, build, and maintain the data infrastructure and pipelines that power our analytics and machine learning platforms.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Forging strong relationships with our engineering and machine learning teams to align the data infrastructure seamlessly with our AI solutions, ML models and user interface. data science leader with 15-years of experience, who has scaled several data teams and built dozens of machine learning products from zero across multiple problems domains.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) performing data engineering and data warehousing development, using Oracle PL/SQL, Snowflake, AWS, NIFI, Python, and Informatica Power Center.
ExpandApply NowActive JobUpdated 4 days ago
machine learning jobs Title: data engineer principal
FEATURED BLOG POSTS
How to Practice Fair Chance Hiring for People With Criminal Records
Usually when you think of your dream hire, you think of someone who is respectful, trustworthy, reliable, and has sound judgment, right? As you envision your ideal candidate with these qualities, the last person you think of is someone with a criminal record.
6 Common Mistakes to Avoid When Employer Branding
Currently, job searchers are putting extra effort into researching employers. The information they find plays a major role in whether they will pursue an opportunity with you or look for jobs elsewhere. That is why it is now more important than ever to be proactive and intentional when showcasing your workforce and workplace culture. Having a well crafted employer branding strategy can help you strategize and influence your potential candidates so they see your business in the best light. But in order to do that, you should be aware of some of the most common mistakes that employers make.
What to Say When Terminating an Employee
Terminating an employee is an inevitable part of doing business. Whether you’re re-structuring your department or you’ve identified a few employees who’re not living up to your expectations, letting people go is necessary for keeping your workforce healthy and thriving.
How to Utilize Keywords for Your Job Ads
Before we give you the scoop on how to utilize keywords in job ads, it would be helpful if we defined what keywords are and why they are important. In simple terms,
What Makes a Good Paid Time Off (PTO) Policy
The world of work has undergone some major transformation in recent years. From remote and flexible work to increased emphasis on employee benefits and wellbeing, companies nowadays have to be very intentional about their HR policies and how they approach talent acquisition.
Internal Recruiting: Benefits and 5 Internal Recruiting Methods to Consider
Internal and external recruiting are nearly the same thing. The biggest difference is where candidates are sourced. There are instances where external recruiting may be the best option. However, when you are presented with the opportunity to recruit internally, you should take full advantage of the different internal recruiting methods. Initially you will find that the hiring process gets a little bit easier. Then you'll notice all the other benefits that internal recruiting offers.
How to Answer the Interview Question: What is Your Communication Style?
As a job searcher, you probably have so many questions about job searching. However, once you've landed an interview, your excitement takes your questions to a whole new level. What will you wear? Will you know how to answer all the questions? Have you practiced giving nice firm handshakes?