2

Remote Aws Machine Learning Jobs in Indiana (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Supply Chain Director

Elkhart, IN · On-site +1

$174K - $197K/yr

  • Medical

  • Retirement

  • PTO

Evaluate and deploy ROI-driven technology-RPA, machine learning, real-time dashboards-and translate ... This position is considered hybrid/remote and offers no relocation assistance. Ready to build what ...

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 ...

SVP, Chief Technology Officer (CTO)

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

Senior IT Systems Engineer

Indianapolis, IN · Remote

$99K - $136K/yr

Our Deep Learning technology captures user behavior and utilizes machine learning to connect people ... This is a fully remote individual contributor role within the Technology organization, working with ...

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ... Apply advanced statistical methods, predictive modeling, and machine learning techniques as ...

Sr. Software Engineer (.NetCore) (Remote)

Carmel, IN · On-site +1

$115K - $184K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You are constantly learning and seeking ways to improve yourself and the processes around you ... Kubernetes in AWS * OpenTelemetry Must Have's: * 5+ Years of experience building scalable, cloud ...

Sr. Software Engineer (.NetCore) (Remote)

Carmel, IN · Remote

$115K - $184K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You are constantly learning and seeking ways to improve yourself and the processes around you ... Kubernetes in AWS * OpenTelemetry Must Have's: * 5+ Years of experience building scalable, cloud ...

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

  • PTO

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 ...

Java Architect

Indianapolis, IN · Remote

$60.25 - $81.25/hr

... remote enabled environment to make that possible. Recognized as a Best Places to Work since 2015 ... Continue learning by staying up to date with the latest technology, trends, tools and techniques ...

Showing results 21-40

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 are the most commonly searched types of Aws Machine Learning jobs in Indiana?

The most popular types of Aws Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Remote Aws Machine Learning jobs?

Cities in Indiana with the most Remote Aws Machine Learning job openings:

AI Trainer - Microbiology Expert

micro1 AI

Fishers, IN • Remote

$70 - $90/hr

Part-time

Posted 21 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.