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Remote Aws Machine Learning Jobs in Michigan (NOW HIRING)

Vision Engineer

Detroit, MI ยท On-site +1

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Software Engineer

MI ยท Remote

This is a remote position but may require occasional travel to a JR Automation or customer facility ... Machine Learning and other AI - ML, Custom AI programming, etc. * Machine Vision - Halcon, Cognex ...

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI ยท On-site +1

$102K - $140K/yr

Hands-on machine learning and dataset curation experience, with a demonstrated history of ... Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or ...

Software Engineer, On Device

Ann Arbor, MI ยท On-site +1

$120K - $150K/yr

This edge software includes machine learning, optimization algorithms, and components that host ... AWS, Azure) preferably in the scale of million devices including managing release/versioning ...

Senior AI Engineer

Grand Rapids, MI ยท On-site +1

$100K - $137K/yr

The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ... Advanced hands-on experience with AWS, Azure, or Google Cloud; strong containerization expertise ...

OCI Architect

Troy, MI ยท On-site +1

... Remote Job Type: Full Time employee, CTH, or Contract * Architect end-to-end OCI solutions for ... OCI-Azure Interconnect, OCI-AWS, Oracle Database@Azure, Oracle Database@AWS * Oracle WebLogic ...

Manager, Reliability Operations

Lansing, MI ยท On-site +1

$110K - $150K/yr

This is a permanent, full-time, remote position. US Pay Band - $110K - $150K Actual compensation ... Build and manage on-call incident commander rotations with global coverage Drive Learning ...

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Remote Aws Machine Learning information

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

To thrive as a Remote AWS Machine Learning Engineer, you need a strong background in machine learning algorithms, statistical analysis, and proficiency in programming languages such as Python, often supported by a relevant degree or certification. Familiarity with AWS services like SageMaker, Lambda, and EC2, as well as experience using cloud-based ML tools and AWS Certified Machine Learning credentials, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are valuable soft skills for remote collaboration and project management. These skills ensure effective model development, seamless deployment on cloud infrastructure, and successful remote teamwork in delivering scalable ML solutions.

What are remote AWS Machine Learning jobs?

Remote AWS Machine Learning jobs involve working with Amazon Web Services' suite of machine learning tools and services, such as SageMaker, to build, train, and deploy machine learning models. These positions allow professionals to work from anywhere, collaborating with teams virtually while leveraging AWS infrastructure to solve data-driven problems. Responsibilities often include data preprocessing, model development, and deploying scalable solutions in the cloud. Typical job titles may include Machine Learning Engineer, Data Scientist, or AI Developer, all with a focus on AWS technologies. These roles require strong programming skills, experience with cloud computing, and a background in machine learning or data science.

What is the difference between Remote Aws Machine Learning vs Remote Data Scientist?

AspectRemote Aws Machine LearningRemote Data Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, AWS services, remote teamsData analysis, modeling, research in remote settings
Industry UsageTech, finance, healthcare using AWS ML toolsResearch, consulting, analytics across industries

Remote AWS Machine Learning specialists focus on deploying machine learning models using AWS cloud services, requiring AWS certifications and cloud expertise. Remote Data Scientists analyze data, build models, and interpret results, often with a stronger emphasis on statistics and programming. While both roles work remotely and involve data, AWS Machine Learning roles are more cloud and deployment-oriented, whereas Data Scientists focus on data analysis and research.

What are some common challenges faced by remote AWS Machine Learning engineers, and how can they be addressed?

Remote AWS Machine Learning engineers often face challenges related to communication and collaboration, especially when working across different time zones and with cross-functional teams. Ensuring secure access to data and cloud resources is another key concern, given the sensitive nature of many machine learning projects. To overcome these challenges, engineers should leverage AWS collaboration tools, maintain clear documentation, and participate in regular virtual meetings. Additionally, setting up robust security protocols and using AWS Identity and Access Management (IAM) helps safeguard project assets while enabling effective teamwork.
What are the most commonly searched types of Aws Machine Learning jobs in Michigan? The most popular types of Aws Machine Learning jobs in Michigan are:
What are popular job titles related to Remote Aws Machine Learning jobs in Michigan? For Remote Aws Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Michigan look for? The top searched job categories for Remote Aws Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Remote Aws Machine Learning jobs? Cities in Michigan with the most Remote Aws Machine Learning job openings:
Vision Engineer

Vision Engineer

DISHER

Detroit, MI โ€ข On-site, Remote

Full-time

Re-posted 10 hours ago


Job description

Vision Engineer - Remote / Travel
DISHER is currently partnering with a world leading automation company that specializes in groundbreaking technologies for flawlessly manufacturing millions of products. They have been awarded year after year as a great place to work and one of the "World's Most Admired Companies".
What it's like to work here:
Their team is the secret to their success. They are empowered, inventive, and inclusive. This company champions their teams, foster collaborations, inclusion, respect, and excellence. Working with this company, you will drive innovation with new advancements in industry. You will have opportunity for future training to broaden skills and be a part of a team of experts to drive solutions that improve efficiencies, safety, and quality. You will work with multiple assembly plants and integrator. If you are passionate about your craft and are driven to succeed, this could be the place for you!
What you will get to do:
  • Design and develop all aspects of vision control systems, equipment, and programming using high standards and build upon with innovative ideas.
  • Write, implement, and debug PLC software.
  • Provide support to existing vision equipment globally.
  • Follow health, safety, environmental regulations, and safety protocols, (LOTO).
  • Build mutual trust, respect, and cooperation among all team members.
  • Communicate across cross-functional groups.
  • Be responsible for projects from technical specification to startup support.
  • Develop contingency and disaster recovery plans.
  • Create training documentation.

What will make you successful:
  • Three years of experience in a controls/vision engineering role.
  • Must be a self-starter, team player, work well with others, and have a positive attitude.
  • Must be a creative thinker, results oriented, focused, and attentive to detail and accuracy.
  • Proficient in RSLogix5000, Studio5000, and FactoryTalk View Studio.
  • Knowledgeable of Keyence & Cognex cameras.
  • Must have ability to prioritize, multi-task and meet deadlines.
  • C+ or C++ Programming capabilities.
  • Knowledge on machine learning with AI capabilities.
  • Self-driven and willingness to work long hours during installations, if required.
  • Willingness to travel globally - up to 30-50%.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.