- UpvoteDownvoteShare Job
- Suggest Revision
Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. JOB SUMMARY As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks. Develop and optimize Spark jobs for data processing, analysis, and machine learning tasks.
$95,900 - $129,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Sr. AWS Cloud Engineer w/ Machine Learning Ops. Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with streaming data processing, real-time analytics, and machine learning pipelines. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBase.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This is a hybrid position that requires a candidate local to Austin, TX Responsibilities: Establish and set up model life cycle management with tools like MLFlow, etc Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions Deployment utilizing containerization solutions like Docker and Kubernetes Experience with AWS cloud services and running Apache Spark applications.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Spectrum of offerings across basic RPA to machine learning, cognitive automation, and Quantum Computing capabilities.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Develop and optimize ETL processes using Databricks and related tools like Apache Spark. Good understanding of spark architecture with Databricks structured streaming, setting up Azure with Databricks, managing clusters in Databricks.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience with Apache Spark and Databricks (or similar data processing frameworks). Design, develop, and implement efficient and scalable data pipelines using Apache Spark on Databricks.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with machine learning related open source libraries including, but not limited to: Hadoop, Spark, SciKit-Learn, TensorFlow, etc. We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proven proficiency in data pipeline tools (e.g., Apache Airflow, Apache Kafka, Apache Spark) - Familiarity with machine learning and AI platforms. Extensive experience with data warehousing and data lake technologies (e.g., Snowflake, BigQuery, Redshift.
ExpandApply NowActive JobUpdated Today
machine learning apache spark jobs Company: Pfizer
FEATURED BLOG POSTS
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.
How to Decide Between Two Job Offers: 10 Practical Tips
It’s arguably a good predicament to have. You’ve applied to many jobs, interviewed multiple times, and now find yourself with two legit job offers. Nice! But although this is a feel-good validation of everything you have to offer, a daunting choice lies ahead. How do you decide which job will be the best fit for you?
Why Work in Sales? 9 Reasons & Tips on Answering as an Interview Question!
Working in sales can be demanding and challenging, but it can also be gratifying. Sales is an excellent career with a clear path full of excitement and potential for growth. So, if you're contemplating careers and have wondered "why work in sales?", keep reading to determine if sales is a suitable role for you.
How to Fire an Employee
So… you've finally decided to let one of your employees go. Drafting the paperwork and corresponding with HR is the easy part, but knowing how to fire an employee is where things get complicated. In fact, it is one of the most challenging conversations to have in the workplace. However, it must be done, and it must be done with poise and tact. Not only should you keep your state law in mind, but you should also consider your former employee's wellbeing.
How Long Does it Take to Hear Back from a Job?
Are you applying for your very first job? Maybe you’re anticipating your termination from your current role and want to be proactive. Either way, waiting to hear back on your job application can be stressful. If time has passed since you applied, you may wonder how long does it take to hear back from a job. Well, the answer is... it depends.
How to Respond to a Recruiter Through Email? (Tips & Examples)
Rather than wading through an endless list of open roles, wouldn’t it be nice if relevant job opportunities come to you?
How to Reject a Candidate Professionally
When deciding on how to reject a candidate, your first question may be