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Mobile Machine Learning Jobs in Missouri (NOW HIRING)

Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems. * Being ...

$40 - $55/hr

As a Mobile Engineer (iOS), you will play a key role in building a next-generation mobile ... Working alongside backend, machine learning, and product teams, you will design seamless AI-driven ...

$83K - $113K/yr

... Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers ... Deep understanding of machine learning pipelines: data ingestion, preprocessing, training ...

$94K - $124K/yr

Knowledge of subscription business models, mobile applications, app stores, or developer platforms is beneficial. * Contributions to open-source AI or machine learning projects are considered an ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

... machine learning initiatives * Identify high-value AI use cases and guide teams on prompt ... Do you have the ability to transform an organization through the latest social, mobile, and ...

Repair Technician 2

Joplin, MO

$16.25 - $22.25/hr

Manual Machinist * Uses gages and measuring instruments to meet tolerance requirements. * Uses ... Climb up, down, in, and out of mobile equipment being worked on. * Properly diagnose, repair, and ...

Senior Consultant - SAP EAM/PM

Kansas City, MO · On-site

$61.50 - $84/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Experience with SAP Intelligent Asset Management or SAP mobile maintenance capabilities * Current ...

Senior Consultant - SAP EAM/PM

Saint Louis, MO

$61.25 - $83.50/hr

... and machine learning. Qualifications Required * Bachelor's degree or Associate's degree plus 6+ ... Experience with SAP Intelligent Asset Management or SAP mobile maintenance capabilities * Current ...

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... learning about new places, and meeting new people? Are you interested in becoming a skilled mobile ...

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Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... learning about new places, and meeting new people? Are you interested in becoming a skilled mobile ...

New

Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for ... learning about new places, and meeting new people? Are you interested in becoming a skilled mobile ...

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Showing results 1-20

Mobile Machine Learning information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

What are the key skills and qualifications needed to thrive as a Mobile Machine Learning Engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
What are the most commonly searched types of Machine Learning jobs in Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Mobile Machine Learning jobs in Missouri? For Mobile Machine Learning jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Mobile Machine Learning jobs? Cities in Missouri with the most Mobile Machine Learning job openings:

Senior Data Scientist - Machine Learning

Catawiki

On-site, Remote

Other

Retirement

Posted 10 days ago


Job description

Our Data Story

With ten-thousands of active items on auction every day, hundred-thousands of bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect this data centrally, using it to generate business insights, as well as powering machine learning models that enhance our user experience, optimize our workflows, and keep our platform safe. We believe in creating flexible models that can be applied to a variety of use cases, and in experimentation and iteration to hit the ground running and continually improve the tools we build.The Data Team, which covers the full data spectrum of Machine Learning, Analysis and Data Engineering, has a clear a mission within Catawiki:

Why: We believe that by using data in a smart way, we can build the best Catawiki possible. We want to have impact and see opportunities everywhere.

How: We are builders, thinkers and talkers. We collaborate closely with every department to create value for our customers. We think big and hold ourselves to high standards, because our work really matters for the future of the company.

What: As a result we create business value by delivering scalable, robust models and actionable insights and predictions. We help the company to find opportunities and understand success, and we empower everyone to use data to be successful.

So what's the job

As a Senior Machine Learning Data Scientist in the Data Team at Catawiki you will focus on delivering scalable and impactful data products. You'll work closely with our product and development teams while implementing your work. This includes:

  • Building production-ready models that apply machine learning and advanced data science techniques within our product offering by writing robust and scalable code.
  • Finding data science opportunities by exploring our extensive mobile and web data, and applying machine learning and advanced statistics to tackle these real-world business problems.
  • Being pragmatic when needed but also able to go deep into a problem, applying your expert knowledge of machine learning techniques
  • Working with cross-disciplinary teams involving product owners, developers, UX designers, and business analysts in identifying improvements and new use cases for ML
  • Deploy scalable models using Kubernetes on cloud infrastructure, producing real-time, asynchronous, and batch predictions

Who you are 
  • You are an all-around data scientist with 5+ years of experience who is as comfortable diving into the internals of a model implementation as discussing new opportunities for ML with product stakeholders
  • Can use your broad skill set to solve challenging ML problems and have a high throughput.
  • Are familiar with a range of different ML techniques and use that to select a good solution for their projects.
  • Are able to considers the operating/deployment constraints of large models and implement solutions accordingly
  • Give guidance and unblock others in your team by supporting them with advice and new techniques.
  • Have a strong quantitative background (statistics, ML, sciences, etc.)
  • Are fluent in Python and capable with SQL
  • Have deployed ML models serving real time responses on a large scale
  • Have demonstrable experience in building robust data products that created value for the company you worked for.

The following are a plus:

  • Proven ability to extract meaning from very big datasets with little engineering support.
  • Experience with one or more of the following: PyTorch/Tensorflow, LightFM, Git, Docker, Kubernetes, Google BigQuery, MySQL, Spark, Airflow, Kafka, nginx, CI/CD, 
  • An entrepreneurial mindset that enables you to get things done, even if that requires actions outside your own area or comfort zone.

Where you'll be

This role is based in Amsterdam  but we can offer remote work from the following countries: France, Germany, Belgium, Italy, Spain and The U.K. We also offer an excellent relocation package for people living outside of the Netherlands.


Here's what we can offer you

This is your chance to become part of a fast but sustainable growing tech company! You will have an exciting role in a young, fast-growing, dynamic & international organisation. You'll be part of an enthusiastic, highly motivated team of 800+ international Catawikians; you'll have big responsibilities and can really create something. Additionally you can expect:

  • An attractive Stock Options package  
  • Working with a top notch team acting on a champions league level in a super complex dynamic environment; you will learn a lot!
  • A diverse and international team with over 50 different nationalities.
  • A great office located in the heart of Amsterdam with an easy-going atmosphere.
  • Our entrepreneurial environment encourages everyone to take initiative and experiment with new ideas. You'll actively contribute to the growth of the Catawiki platform.
  • Tailor-made trainings to facilitate your personal and professional growth
  • The fun part! Our Activity Committee plans everything from 'CataFooty' to International Food Festivals, Friday Drinks, Board Game Nights, Pub Quizzes and Boot Camps!
  • And there's more! Paid holidays, holiday allowance and a fantastic pension plan paid for by Catawiki.