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Remote Aws Machine Learning Jobs in Springfield, MA

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics. * Drive execution ...

Posted today

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive ... Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS). * Knowledge ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

CVS Health

Data Engineer

Hartford, CT · On-site +1

$142K - $158K/yr

... machine learning infrastructure design; andDeveloping and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure). Pay Range: $142418.00/year to $158620.00/year. This ...

DataAnnotation

QA Engineer - AI Trainer

Springfield, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

QA Engineer - AI Trainer

Hartford, CT · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Springfield, MA

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.
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Remote Aws Machine Learning jobs near you

Machine learning Solution Architect: Remote Role

Qualis1 Inc

Hartford, CT • Remote

$64.50 - $85/hr

Contractor

Re-posted 24 days ago

Job description

Role: AI/ Machine learning Architect

Location: Hartford, CT, remote

Duration: 6+ months

Description:

Need Machine learning Architect with Azure cloud