... AWS, Azure, GCP) • Proficiency with MLOps practices including experiment tracking, model ... in machine learning including model architecture design, training strategies, and evaluation • ...
... AWS, Azure, GCP) • Proficiency with MLOps practices including experiment tracking, model ... in machine learning including model architecture design, training strategies, and evaluation • ...
Sr Machine Learning Engineer
Irving, TX · On-site +1
$112K - $185K/yr
... AWS, Azure, GCP). Monitor and maintain model performance in production, implementing model ... Remote work permitted but must live within commuting distance of designated office location and ...
Sr Machine Learning Engineer
Irving, TX · On-site +1
$112K - $185K/yr
... AWS, Azure, GCP). Monitor and maintain model performance in production, implementing model ... Remote work permitted but must live within commuting distance of designated office location and ...
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...
Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...
Machine Learning Engineer Location: Remote Preferred Resource Location: LATAM About Us: Maxiom ... services (AWS, Azure, Google Cloud) and containerization technologies. - Knowledge of DevOps ...
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Machine Learning Engineer Location: Remote Preferred Resource Location: LATAM About Us: Maxiom ... services (AWS, Azure, Google Cloud) and containerization technologies. - Knowledge of DevOps ...
... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...
... such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Biloxi, MS · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Biloxi, MS · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Alamogordo, NM · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Alamogordo, NM · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Derry, NH · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Derry, NH · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Charlotte, NC · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Charlotte, NC · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Frederick, MD · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
Frederick, MD · On-site +1
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
$40/hr
Knowledge of cloud platforms such as AWS * Proficiency with Python and/or Go * Familiarity with ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
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?
| Aspect | Remote Aws Machine Learning | Remote Data Scientist |
|---|---|---|
| Required Credentials | AWS certifications, machine learning courses | Statistics, data analysis, programming skills |
| Work Environment | Cloud platforms, AWS services, remote teams | Data analysis, modeling, research in remote settings |
| Industry Usage | Tech, finance, healthcare using AWS ML tools | Research, 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.
More about Remote Aws Machine Learning jobs
What cities are hiring for Remote Aws Machine Learning jobs?
Cities with the most Remote Aws Machine Learning job openings:
What are the most commonly searched types of Aws Machine Learning jobs?
The most popular types of Aws Machine Learning jobs are:
What states have the most Remote Aws Machine Learning jobs?
States with the most job openings for Remote Aws Machine Learning jobs include:
What job categories do people searching Remote Aws Machine Learning jobs look for?
The top searched job categories for Remote Aws Machine Learning jobs are:
- Remote Biomedical Machine Learning
- Machine Learning Remote Internship
- Remote Reinforcement Learning
- Senior Specialist Remote Data Annotation
- Remote Artificial Intelligence
- Startup Machine Learning Remote
- Remote Volunteer Machine Learning
- Data Science Remote Freelance
- Remote Cyber Security Machine Learning
- Remote Threat Hunting
Job description
Job Summary:
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
• You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.
• You care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.
• You obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.
• You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.
• You live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.
• You're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.
• You must be willing to receive a Secret or Top Secret/SCI security clearance.
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for maritime domain awareness, working on real-world projects that impact warfighter capabilities.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
• You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has comprehensive test coverage.
• You care about correctness. You take pride in the fact that your models perform reliably and downstream consumers trust your predictions.
• You obsess over performance. You daydream about model latency, throughput, and efficient inference pipelines.
• You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding.
• You live on the bleeding edge. You've got a long list of upcoming ML techniques and frameworks you're excited about and can't wait to experiment with new approaches.
• You're a great teacher. You know how to break down complex ML concepts for a specific audience and make it click with them in a way that gets them excited.
• You must be willing to receive a Secret or Top Secret/SCI security clearance.
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Spear AI
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
Washington, DC, US
Year founded
2020