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Remote Aws Machine Learning Jobs in Philadelphia, PA

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

TSMG

AI/ML Data Contributor

Philadelphia, PA · Remote

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

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All JobsAws Machine Learning JobsRemote Aws Machine Learning JobsRemote Aws Machine Learning Jobs in Philadelphia, PA

Remote Aws Machine Learning information

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 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 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 are popular job titles related to Remote Aws Machine Learning jobs in Philadelphia, PA? For Remote Aws Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Aws Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Remote Aws Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Aws Machine Learning jobs? Cities near Philadelphia, PA with the most Remote Aws Machine Learning job openings:
Remote Aws Machine Learning jobs near you

Backend Engineer (Python/Django & AWS) | $120-150K | Exciting IT Consulting Firm

Chariot Solutions

Fort Washington, PA • Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

Company Description

***YOU MUST BE A CITIZEN OF THE UNITED STATES, HAVE YOUR GREEN CARD OR LONG TERM VISA TO APPLY TO THIS POSITION. You can Work Remotely anywhere in the United States for this position but the Greater Philadelphia Area is ideal. We are currently 100% remote, but when businesses open back up there will likely be occasional travel for meetings.***

Chariot Solutions has 18+ years of experience solving challenging business problems with technology and is a top IT consulting firm specializing in software, mobile, cloud and data pipeline engineering. Our team includes many of the top software architects in the Philly area, with deep technical expertise, industry knowledge and a genuine passion to help your organization be on the forefront of digital transformation.

Chariot Solutions Specializes in:

  • Software Development - Quality is something we never compromise on - from the user experience, to the code, we craft solutions using best practices including agile development and automated testing, leaving you with a solid foundation to achieve success, growth and ROI.

  • Mobile Development - Our iOS and Android engineers and designers are passionate about creating the ultimate user experience for you and your customers. That's why we focus on usability and performance to design, build, and deliver best-in-class mobile applications.

  • Cloud Development - Find out what AWS cloud computing can do for your business. It takes an expert to guide you through the cloud journey. Understand the hidden challenges of developing software in the cloud.

  • Data Pipeline Engineering - Support your Business Intelligence, Machine Learning and AI initiatives with innovative, production ready, Data Engineering and Data Pipeline Optimization strategies powered by tools such as Apache Airflow, AWS Redshift and Lambda. 

Job Description

We are looking for engineers with practical development experience and drive. 

  • Work on a wide array of projects, from strategy and architecture engagements to a full life-cycle development, systems integration, performance tuning, training and mentoring. 

  • Comfort with one or more application development frameworks: Spring, Express or HAPI, Django or Flask, etc.

  • Design and development of cloud-native applications (compute, database, storage, managed services).

  • Containerization and Deployment (Docker, Kubernetes, ECS, CloudFormation, Terraform).

Qualifications

  • You MUST have 5+ years of experience with Python/Node.js or Java, Django, and AWS.

  • Fluency with SQL and/or NoSQL databases.

  • Knowledge of networking (VPC, subnets, availability zones) and security (IAM roles and policies).

  • Bonus points for front-end experience with skills such as Javascript, Typescript, frameworks like Angular, React, or VueJS and styling with CSS. 

  • Bonus points for having Go, Clojure, Scala, Apache Spark, Hadoop, Stream Processing, Mobile technologies: iOS (Swift/Objective-C), and Android (Kotlin/Java) native applications. 

  • Bonus points for being involved in the Tech community (i.e. run user group, tech meetings, posts on social media).

  • Analytical, good energy, solid communications skills. 

  • Excellent problem-solving, communication and analytical skills. 

Additional Information

Benefits

  • Benefits for a single subscriber > $30K; family > $40K.

  • Cover full cost (no premium, no deductible) to employees and their dependents health care, dental and vision.

  • Top of the line MacBook Pro or equivalent.

  • Short and long term disability.

  • 401K retirement plan.

  • Flexible spending account.

  • Subsidized gym membership.

  • Company stock (stock is given out to all new employees on Jan 1st following your first year anniversary with us. The company stock vests over 3 years at no commitment to you. More details are provided at the interview with CEO). 

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