ZipRecruiter

Log In

2

Remote Aws Machine Learning Jobs in Lawrenceburg, IN

GMV

Data Architect

Verona, KY · On-site +1

$59 - $75.75/hr

Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI ...

Roadpass Digital

Senior AI/ML Engineer

Cincinnati, OH · Remote

$107K - $146K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative ... Strong experience with AWS services including S3, SageMaker, and Bedrock * Strong experience with ...

Roadpass Digital

Senior AI/ML Engineer

Cincinnati, OH · On-site +1

$100K - $137K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative ... Strong experience with AWS services including S3, SageMaker, and Bedrock * Strong experience with ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

NaviStone

Senior Full Stack Engineer

Cincinnati, OH · On-site +1

... AWS. * You will need to apply your deep understanding of the software engineering discipline ... Hybrid role, in office 2 days per week Remote - US based candidates will be considered. Develop ...

Nexaminds

Technical Product Manager

Cincinnati, OH · On-site +1

$160K - $185K/yr

... powered by intelligent machines. If you're driven by ambition, success, fun, and learning ... Remote work options ???? * Flexible working hours ???? * Benefits above the law * But it's not just ...

All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Lawrenceburg, IN

Remote Aws Machine Learning information

What is a remote AWS Machine Learning job?

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 are the key skills and qualifications needed to thrive as a remote AWS Machine Learning engineer?

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 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 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 cities near Lawrenceburg, IN are hiring for Remote Aws Machine Learning jobs?

Cities near Lawrenceburg, IN with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

Data Architect

GMV

Verona, KY • On-site, Remote

$59 - $75.75/hr

Full-time

Re-posted 14 days ago

Job description

 

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in different areas. Within the IT sector we have reinvented the future of data, integrating the most advanced techniques in artificial intelligence, machine learning, cognitive services (IBM Watson, AWS AI, Google AI, etc.), and big data architectures to respond to the needs of a society that is evolving more and more rapidly.
You will be part of our Big Data team whose mission is to participate in projects of design and development of programs for data consolidation and analysis. You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to improve intelligent machine technology.

DO YOU WANT TO BE PART OF OUR TEAM?

If you want this position to be yours, we would like you to have the following knowledge/experience:

  • Apache Spark
  • Apache Kafka
  • R
  • BBDD SQL
  • Metodologias Agiles: SCRUM
  • Machine learning
  • Big Data Architectures
  • Java/Python

WHAT DO WE OFFER?

  • Join our team and culture GMV by entering into technological and innovative projects within multicultural and multidisciplinary teams.
  • Professional career development and training plan. You will be able to acquire or perfect knowledge in the technologies we use as well as in skills. We also offer a language learning program.
  • We are flexible! We have flexible hours and intensive working hours during the summer months. In addition, you can work from home to improve your work-life balance.
  • We care about your well-being. You will have private health insurance with dental and accident insurance.
  • You will be able to make part of your salary more flexible through our flexible salary plan where you will have several options such as restaurant tickets, childcare tickets, medical insurance for a family member....
  • Join our team activities, events and sports competitions. In addition, we offer Gympass to keep you active.
  • No dress code! Be confortable at work
  • Are you coming from another country? We offer you a relocation package.
  • You will find fruit and coffee at your disposal in our dining rooms for those moments of relaxation.

WHAT ARE YOU WAITING FOR?

Apply