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Remote Aws Machine Learning Jobs in Manchester, NH

DataAnnotation

QA Engineer - AI Trainer

Manchester, NH · 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

SDLC Engineer - AI Trainer

Manchester, NH · 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 ...

Symbotic

Senior Network Operations Manager

Andover, MA · Remote

$86K - $115K/yr

... LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

ABB

OEM Sales Director-Machinery

Manchester, NH · On-site +1

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

All JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Manchester, NH

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 job categories do people searching Remote Aws Machine Learning jobs in Manchester, NH look for? The top searched job categories for Remote Aws Machine Learning jobs in Manchester, NH are:
Remote Aws Machine Learning jobs near you
Online Adjunct Faculty - Graduate Computer Science

Online Adjunct Faculty - Graduate Computer Science

Southern New Hampshire University

Manchester, NH • On-site, Remote

$2.5K/wk

Part-time

Retirement

Posted 14 days ago

Southern New Hampshire University rating

8.9

Company rating: 8.9 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

28th of 541 rated colleges and universities

Job description

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.
Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact - from near or far
We currently have remote adjunct opportunities available in all US States, with the exception of California.
The opportunity
Southern New Hampshire University is looking for online adjunct faculty within our Graduate Computer Science program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position.
What you'll do:
  • Prioritize Student Engagement - Work with students by responding within set timeframes and reaching out proactively to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and strong faculty-student relationships to enhance learning and build skills.
  • Share Expertise and Resources - Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials to enhance student understanding of course content. Find accessible ways to explain complex topics.
  • Offer Feedback & Assessment - Evaluate student work and provide individualized, constructive feedback within set timeframes to promote growth and mastery of course outcomes.
  • Facilitate Discussions - Encourage student interaction through active participation in online discussions while fostering an inclusive, engaging, and respectful environment that promotes open dialogue and diverse perspectives.

Courses:
  • CS-540: Data Literacy and Visualization
  • CS-550: Networking and Cybersecurity
  • CS-560: UIUX Design and Implementation
  • CS-570: Machine Learning
  • CS-580: Deep Learning
  • CS-590: Database Design and Development
  • CS-620: Natural Language Processing
  • CS-630: Software Testing and Quality Assurance
  • CS-640: Applied AI and Machine Learning

What we're looking for:
  • Master's degree in Computer Science, Computer Engineering, AI, Information Technology, or a related field
  • 4+ years of professional experience in computer science, software engineering, software development, Full Stack Development, AI Engineering, IT, Network Engineering, Systems Engineering, UI/UX, etc.
  • Experience with Tableau, Power BI, Python
  • Experience with Mongo, PostgreSQL, Neo4J, SQL, Database modeling tools
  • Experience with Wireshark, Linux, Network simulators
  • Experience with Python, Scikit-learn, TensorFlow, Pandas, NumPy
  • Experience with Figma, HTML5, CSS3, JavaScript

We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.
Compensation
The standard compensation for courses is $2,200 per 8-week undergraduate course and $2,500 per 10-week graduate course. Actual pay is determined at the time of course assignment based on discipline.
Exceptional benefits (because you're exceptional)
You're the whole package. Your benefits should be, too. As an employee at SNHU, you'll get:
  • Employer-funded retirement
  • Free tuition program
  • Professional development opportunities

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