- UpvoteDownvoteShare Job
- Suggest Revision
Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our machine learning platform helps manage the various components of the ML application development life cycle, starting from data ingestion, and experimentation, to model training, deployment, and monitoring.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Candidates may also qualify to be considered for Machine Learning Data Engineer III. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset.
$88,400 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. 7+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop and implement in production algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick, effective solutions as appropriate. Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Development Best Practices: Maintain existing and establish new algorithm development, testing, and deployment standards. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of experience developing algorithms for deployment to production systems. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. AWS, Docker, Airflow, Databricks. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Experience with implementing artificial intelligence (AI) and machine learning in transportation Familiar with augmented reality (AR) and virtual reality (VR) technologies.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$99,900 - $166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
$130 - $160Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
deployment machine learning hands on jobs Company: Dice
FEATURED BLOG POSTS
How to Dress on the First Day of Work (Men & Women)
You did it! Out of hundreds of applicants and dozens of people interviewed, you’re the one who got a new job. Congrats! Now comes the question of how to dress on the first day of work.
Why College Students Should Work While in College?
College is a special part of our lives. It’s a time when we prepare for our dream job while creating some of the most memorable moments in life. That said, college life can also be stressful. Not only do we have to spend long hours studying, writing and researching, but we also have to deal with increased tuition fees and living expenses.
5 Ways to Measure Candidate Experience
Your candidate experience is made up of 4 essential parts
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.
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.
When to Tell Your Boss You're Job Searching
The Bureau of Labor Statistics has found that individuals, on average, have 12.4 jobs throughout their working life. So regardless of where you are on the career ladder, it’s inevitable that at some point, you’ll begin looking for another job. That said, you might be wondering,