- UpvoteDownvoteShare Job
- Suggest Revision
More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of cloud and computing technologies such as Hadoop, Apache Spark, AWS, Microsoft Azure, or Google Cloud. Utilize modern technologies such as Python, R, Scala, and Spark for data analysis and insights extraction.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
This includes tools like BigQuery, Cloud Storage, infrastructure-as-code tooling (Terraform) and an ML stack (Vertex, SageMaker, Ray, or similar) for handling machine learning workflows. ML aptitude: Experience building product features with ML frameworks like Scikit-Learn, PyTorch, TensorFlow and big data tooling like Spark.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in using Databricks and Apache Spark for big data processing and machine learning. Design, develop, and deploy machine learning models using Databricks and Apache Spark.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience working as a data scientist with technologies such as scikit-learn, R, SQL, H2O, Vertex AI, AWS Sagemaker, TensorFlow, PyTorch, and Spark. You are experienced with the lifecycle of machine learning, data science, data and ML pipeline design, and have a deep understanding of how they can be deployed and orchestrated in a cloud-based infrastructure.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Operational Technology equipment and related software, such as Honeywell Connected Plant, Emerson Plantweb/AMS, GE/Meridum APM, Aveva, Bentley, and OSIsoft PI. Frost & Sullivan named Cognite a Technology Innovation Leader.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong Knowledge of supervised and unsupervised deep learning algorithms like CNN, RNN, GRU and experience in advanced deep learning packages like TensorFlow, Keras, Pytorch, Caffe, Theano, etc.
Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
2 years experience with Python, Spark, or related frameworks in AI, machine learning, data science, data engineering or similar context. Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search and retrieval frameworks (e.g., development and benchmarking of embedding models and retrieval approaches in the context of Retrieval Augmented Generation, RAG.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As an ML Infrastructure Engineer, you will play a key role in driving the architecture, implementation, and evolution of our rapidly growing Machine Learning platform. Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Regularly interact with the team to reinforce machine learning and data concepts, and guide them in the creation of product features with Generative AI, NLP, deep learning, and classical machine learning techniques.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
learning spark jobs
FEATURED BLOG POSTS
Looking for New Candidates?
Before the turn of the century, recruiters could put their "help wanted" ads in the newspaper, and applications would pour in. Since then, recruiting has turned a new page. The use of the internet and other technologies allows recruiters to broaden their candidate pool for the simple reason being
How to Stall a Job Offer Politely
You did it! After several weeks of looking for a new job and undergoing grueling interviews, you finally have a job offer. Although this may be very exciting, accepting a job offer means that you’re making a long-term commitment to your future employer. So, even if you’re eager to leave your current job, this isn’t a decision you should take lightly.
What is Talent Mapping
Every planner and recruiter knows that each strategic process requires a pre-strategic process. This is usually just the pre-planning phase of your master plan. Because hiring and recruiting involves many aspects of business (budgets, time, employees, planning, etc.), it is important to ask yourself a few questions to evaluate what resources you have to fulfill your hiring needs. These questions include:
How to Get a Job in a New City - Best Tips to Follow
When your dream job posts, will you be ready? What if that dream job was in a faraway city or a different continent…would you move for it? Most of us have dreamed about what it would be like to accept a job in a new place at one time or another. But when it comes to actually making a move, it’s usually the logistical details that give us pause. The key to job searching in a different location is to have a plan.
What is a Policy of Non-Retaliation & How to Create One
Your company probably has many policies in place – anti-discrimination policies, equal opportunity policies, ethics policies, and so on. However, it is important to re-evaluate whether you have a policy that covers every situation. Say for instance one of your employees submit a complaint in good faith to their supervisor. To their surprise, they are met with retaliation, such as demotion, defamation, or even termination.
How to Take Your Careers Page to the Next Level
Your careers page deserves a lot of attention. It is not just another page on your website. It is a vital tool that could enhance your recruitment outcomes. But in order to do that, you have to make sure it's fully optimized.
How to Decline a Job Offer You Already Accepted
When you think about it, turning down a job offer is not the worst position you could be in. If you’ve been lucky enough to consider multiple job offers, well, then you’re lucky enough.