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Software Engineer Ai Model Training Jobs in Virginia

Jobtailor

Lead Software Engineer - AI

Reston, VA · On-site

$140 - $210/hr

Mentoring team members and providing technical training, fostering a collaborative environment for ... Experience with model lifecycle practices (evaluation, monitoring, retraining, and iteration)

540

AI/ML Engineer

Arlington, VA · On-site

Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ... Develop automated pipelines for model training, validation, testing, deployment, and monitoring

540

AI/ML Engineer

Arlington, VA

Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ... Develop automated pipelines for model training, validation, testing, deployment, and monitoring

540

AI/ML Engineer

Arlington, VA · On-site

Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ... Develop automated pipelines for model training, validation, testing, deployment, and monitoring

Dark Wolf Solutions

Senior AI Software Engineer

Herndon, VA · On-site

$130K - $170K/yr

Dark Wolf is seeking a Senior AI Software Engineer to design, build, and integrate AI/ML solutions ... End-to-end knowledge of model training, dataset curation, and data pipeline design. * Programming ...

540

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Advanced software engineering experience using Python and commonly used AI/ML frameworks * Experience architecting automated model training, validation, deployment, and monitoring pipelines

540

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

Advanced software engineering experience using Python and commonly used AI/ML frameworks * Experience architecting automated model training, validation, deployment, and monitoring pipelines

540

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Advanced software engineering experience using Python and commonly used AI/ML frameworks * Experience architecting automated model training, validation, deployment, and monitoring pipelines

Luck Stone

AI Engineer

Manakin Sabot, VA

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes ... Proficient in software development practices, version control (Git), and testing frameworks

Luck Stone Corporation

AI Engineer

VA · On-site

$152K/yr

Experience with automating AI model training, deployment pipelines, and optimization processes ... Proficient in software development practices, version control (Git), and testing frameworks

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Virginia?

For Software Engineer Ai Model Training jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Virginia look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Virginia are:

What cities in Virginia are hiring for Software Engineer Ai Model Training jobs?

Cities in Virginia with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you

Lead Software Engineer - AI

Reston, VA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$140 - $210/hr

Other

Posted 20 days ago

Job description

Responsibilities
  • Leading the development and implementation of innovative software and web applications, ensuring they align with business objectives and user requirements.
  • Integrating new systems seamlessly with existing infrastructure, focusing on scalability, security, and continuous performance improvement.
  • Mentoring team members and providing technical training, fostering a collaborative environment for knowledge sharing and professional growth.
  • Collaborating with cross-functional teams to ensure successful application integration, advocating for best practices in software development.
  • Participating in or leading peer programming sessions, design sprints, or prototyping sessions.
  • Driving the creation, maintenance, and accessibility of comprehensive documentation for all development activities.
  • Monitoring application performance metrics rigorously, utilizing data to guide enhancements and ensure delivery aligns with project goals.
  • Providing expert technical advice and support to internal stakeholders and external partners, effectively communicating complex concepts.
  • Collaborating with the Quality Assurance team to confirm applications meet rigorous testing standards and fulfil technical requirements.
Requirements
  • 6+ years of experience in software engineering, with strong focus on AI/ML systems in production.
  • Strong programming skills in Python (Go a plus).
  • Experience building and deploying Agents or LLM-based applications into production environments.
  • Experience with distributed systems and real-time inference architectures.
  • Knowledge of core AI domains such as NLP, recommendation systems, or time series modeling.
  • Experience with model lifecycle practices (evaluation, monitoring, retraining, and iteration).
  • Experience with cloud platforms (AWS, Azure, or GCP) and AI tooling ecosystems.
  • Ability to translate business problems into scalable AI solutions and drive implementation end-to-end.
Hard Skills
  • Software Engineering
  • AI/ML Systems
  • Python
  • Go
  • NLP
  • Recommendation Systems
  • Time Series Modeling
  • Real-Time Inference Architectures
  • Application Performance Monitoring
  • Documentation Creation
Soft Skills
  • Mentoring
  • Collaboration
  • Communication
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