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Remote Aws Machine Learning Jobs in Springfield, MA

iSoftStone

Sr. Project Manager (Infrastructure)

Manchester, CT · Remote

$65 - $75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Remote Opportunity in the Tri-State Area (NY, NJ or CT) Applicants must be legally authorized to ... machine learning and AI. With 20 delivery centers and more than 90,000 employees worldwide ...

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their ...

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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 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 Springfield, MA?

The most popular types of Aws Machine Learning jobs in Springfield, MA are:

What are popular job titles related to Remote Aws Machine Learning jobs in Springfield, MA?

For Remote Aws Machine Learning jobs in Springfield, MA, the most frequently searched job titles are:

What job categories do people searching Remote Aws Machine Learning jobs in Springfield, MA look for?

The top searched job categories for Remote Aws Machine Learning jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Remote Aws Machine Learning jobs?

Cities near Springfield, MA with the most Remote Aws Machine Learning job openings:

Remote Aws Machine Learning jobs near you

Senior Middleware & Hybrid Cloud Administrator (Projects) - Remote

Unisys

East Hartford, CT • On-site, Remote

$51.75 - $68/hr

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago

Unisys rating

5.1

Company rating: 5.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

212th of 224 rated it services

Job description

What success looks like in this role:
We are seeking a Senior Middleware & Hybrid Cloud Administrator to lead the design, implementation, and modernization of enterprise middleware and hybrid cloud solutions. This role is heavily focused on project delivery, including cloud transformation, application migration, and platform engineering across mission-critical environments.
The ideal candidate will bring deep expertise in middleware platforms, AWS cloud architecture, and automation, with a proven track record of delivering large-scale implementations in 24/7 SLA-driven environments.
Key Responsibilities (Project-Focused)
  • Lead Middleware & Cloud Implementations
    Drive end-to-end delivery of middleware and hybrid cloud solutions, including architecture, design, build, migration, and deployment.
  • Enable Application Modernization
    Execute transformation initiatives by re-platforming legacy applications and migrating workloads to AWS and hybrid cloud environments.
  • Design Scalable & Resilient Solutions
    Implement highly available, secure, and performance-optimized architectures aligned with enterprise standards and DR requirements (RPO/RTO).
  • Deploy Middleware & Messaging Platforms
    Implement enterprise middleware technologies such as WebSphere, WebLogic, JBoss, Tomcat, Apache, and messaging solutions including IBM MQ, Artemis MQ, and Mule ESB.
  • Implement Automation & Infrastructure as Code
    Develop provisioning and deployment automation using CloudFormation, JSON, YAML, and scripting to enable consistent and efficient delivery.
  • Integrate Hybrid Environments
    Design and implement connectivity between on-premises infrastructure and AWS cloud environments.
  • Ensure Monitoring & Performance Optimization
    Deploy monitoring and observability tools to maintain system health, optimize performance, and meet SLA commitments.
  • Embed Security & Compliance
    Integrate enterprise security controls, identity management, and regulatory requirements into all implementations.
  • Collaborate Across Teams
    Partner with application, infrastructure, security, and client stakeholders to ensure successful project execution.
  • Support DevOps & Release Enablement
    Enable CI/CD pipelines and release automation to improve deployment speed and reliability.

You will be successful in this role if you have:
  • Bachelor's degree in Computer Science, IT, or equivalent experience
  • 10+ years of experience in middleware, infrastructure, and cloud environments
  • Proven experience delivering large-scale implementation and migration projects
  • Strong hands-on expertise with:
    • Middleware: WebSphere, WebLogic, JBoss, Tomcat
    • Messaging: IBM MQ, Artemis MQ, Mule ESB
    • AWS cloud services and hybrid architectures
  • Experience in 24/7 production environments with SLA accountability
  • Strong troubleshooting, performance tuning, and system design skills

Preferred Qualifications
  • AWS Certifications (Solutions Architect Professional, Security Specialty)
  • Experience in regulated industries (government, financial services, insurance)
  • Familiarity with Linux, AIX, Unix, Windows Server, and Oracle
  • Experience with enterprise security tools (LDAP, SiteMinder, IAM)
  • Exposure to Generative AI / AI-assisted operations concepts

Technical Environment
  • Middleware: WebSphere, WebLogic, JBoss, Tomcat, Apache, IBM HTTP Server
  • Messaging: IBM MQ, Apache Artemis, Sonic MQ, Mule ESB
  • Automation: CloudFormation, JSON, YAML, scripting
  • Monitoring: AppDynamics, CloudWatch, Tivoli, ITCAM
  • Infrastructure: Linux, AIX, Unix, Windows

Benefit Highlights:
Unisys offers an outstanding benefits package, featuring unlimited paid time off, a 401(k) match, comprehensive healthcare, HSA matching, ongoing learning opportunities, and more! We're committed to supporting work-life balance and investing in your future success.
Video Interview Notice:
At Unisys, we incorporate video interviews as a key part of our hiring process. This allows us to get to know you better and provide a more engaging and convenient interview experience. We appreciate your understanding and look forward to connecting with you virtually!
#LI-JV1
This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

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