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Ai Model Training Jobs in Springfield, VA (NOW HIRING)

Mindlance

AI Engineer

Washington, DC · On-site

$110K - $151K/yr

Develop code, deploy AI models and into production environments, and conduct ongoing model training * Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

$135K - $216K/yr

Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities. * Develop dashboards, reporting solutions, predictive analytics capabilities ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Build andmaintainAI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Design, develop, and integrate modern AI model capabilities into ...

Peraton

AI Engineering Support SME

Washington, DC · On-site

Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities. * Develop dashboards, reporting solutions, predictive analytics capabilities ...

Peraton

AI Engineering Support SME

Washington, DC

Support AI model training, evaluation, deployment, optimization, troubleshooting, and operational sustainment activities. * Develop dashboards, reporting solutions, predictive analytics capabilities ...

GDIT

Senior Agentic AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Build andmaintainAI/ML pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. * Design, develop, and integrate modern AI model capabilities into ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

UNISSANT

Senior AI Systems Architect

Ashburn, VA

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

Unissant

Senior AI Systems Architect

Ashburn, VA · On-site

$145K - $208K/yr

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

Unissant, Inc.

Senior AI Systems Architect

Ashburn, VA · On-site

Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management. * Implement secure Gen-AI guardrails addressing: * Hallucination mitigation * Prompt ...

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All JobsAi Model Training JobsAi Model Training Jobs in Springfield, VA

Ai Model Training information

See Springfield, VA salary details

$10

$32

$70

How much do ai model training jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for ai model training in Springfield, VA is $32.76, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $40.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Ai Model Training position, and why are they important?

To excel in AI Model Training, you need a strong background in machine learning, programming (especially Python), data analysis, and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud computing platforms, and certifications in AI or data science are highly advantageous. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively make candidates stand out. These competencies are crucial for developing accurate, efficient AI models and collaborating seamlessly within multidisciplinary teams.

What are the typical work responsibilities of someone in AI Model Training?

Professionals in AI Model Training are typically responsible for collecting, preparing, and processing large datasets, designing and implementing machine learning models, and evaluating their performance using statistical methods. You may work closely with data engineers, software developers, and product managers to ensure models meet business objectives and integrate smoothly into existing systems. Regular responsibilities also include tuning hyperparameters, troubleshooting model issues, and staying up-to-date with the latest advancements in AI. This role often involves a mix of independent technical work and collaborative problem-solving sessions with the broader team.

What is an AI Model Training job?

An AI Model Training job involves preparing, training, and optimizing machine learning models using data. Professionals in this role preprocess datasets, select appropriate algorithms, adjust model parameters, and evaluate performance to improve accuracy. They work with frameworks like TensorFlow or PyTorch and may fine-tune models for specific tasks such as image recognition or natural language processing. This job requires expertise in data science, programming, and statistical analysis to ensure models perform efficiently in real-world applications.

What job categories do people searching Ai Model Training jobs in Springfield, VA look for? The top searched job categories for Ai Model Training jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Ai Model Training jobs? Cities near Springfield, VA with the most Ai Model Training job openings:
Ai Model Training jobs near you
Infographic showing various Ai Model Training job openings in Springfield, VA as of July 2026, with employment types broken down into 82% Full Time, 11% Part Time, 3% Temporary, and 4% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $68,151 per year, or $32.8 per hour.
Senior AI/ML Full Stack Developer

Senior AI/ML Full Stack Developer

Smart Synergies

Reston, VA • On-site

Other

Re-posted 20 days ago

Job description

Job Summary

Client is seeking a highly skilled AI/ML Full Stack Developer to design, develop, and deploy modern fullstack applications enhanced with advanced Artificial Intelligence capabilities. This role blends frontend and backend engineering with Generative AI, RAG pipelines, ML model development, MLOps, and enterprisescale cloud deployment. You will collaborate with architects, software engineers, data engineers, and business stakeholders to translate requirements into productiongrade AI-powered software solutions. The ideal candidate brings strong software engineering fundamentals combined with handson experience developing and operationalizing AI/ML systems on Microsoft Azure.

Major Responsibilities

Full Stack Application Development

Develop and maintain modern web applications using React, React Native, HTML, CSS, JavaScript/TypeScript

Build backend services and REST/GraphQL APIs using Node.js and microservices-based patterns

Design, optimize, and execute complex SQL queries across multiple relational and nonrelational database systems

Implement secure, scalable integrations with cloud, data, and AI services.

Participate in code reviews, architecture discussions, and Agile ceremonies.

Utilize Git/GitHub for version control and DevOps workflows

Apply software design patterns and best practices in full-stack development.

Generative AI & Retrieval-Augmented Generation (LLM Applications)

Build LLM powered applications for text generation, summarization, Q&A, conversational AI, and enterprise knowledge search.

Develop RAG pipelines using embeddings, vector databases, knowledge bases, and grounding techniques with enterprise data.

Implement Azure OpenAI, Cognitive Search, and related services to build secure, compliant GenAI solutions.

Integrate LLMs into backend applications, microservices, and enterprise platforms.

Optimize prompts, system instructions, and orchestration patterns to ensure quality, reliability, and cost efficiency.

AI Agents & Agentic Automation

Design and implement single agent and multi agent systems for intelligent automation and decisioning.

Build autonomous and semi-autonomous agents that perceive, plan, act, and interact with tools, APIs, and event-driven systems.

Develop agentic workflows for complex enterprise processes using Azure and modern orchestration frameworks.

ML Model Based AI (Classical ML & Deep Learning)

Design, develop, and deploy classical ML and deep learning models using platforms such as Azure Machine Learning, PyTorch, and Scikit Learn.

Perform data preprocessing, feature engineering, model training, hyperparameter tuning, validation, and performance optimization.

Ensure resilience, scalability, and lifecycle management for all production models.

Work with large-scale datasets, performing data preprocessing, feature engineering, and model validation.

Deploy AI models using cloud-based platforms such as Azure AI/ML,.

Ensure AI/ML solutions align with enterprise security, compliance, and governance standards.

Education and Experience Requirements:

Requires bachelor's degree (or international equivalent) and 7 + years of relevant experience or 11+ years of relevant work experience without degree

3-5 years of experience in AI/ML development, including designing and deploying ML models.

3-5 years in Full Stack Development Experience

Knowledge, understanding and practical experience of web & mobile development technologies such as HTML, CSS, React & React Native, JavaScript/TypeScript.

Good understanding of latest front-end frameworks and backend technologies

Practical knowledge and work experience with NodeJS, Reactjs, React-Native and GraphQL.

Good knowledge and understanding of RESTful API principles.

Good understanding of relational databases and querying using SQL.

Strong software engineering background (Python, REST APIs, microservices, event-driven systems).

Hands-on experience with Azure Machine Learning, Azure OpenAI, Cognitive Services, and Azure Data Lake.

Experience building RAG systems, vector embeddings, and knowledge retrieval pipelines.

Proficiency in big data processing technologies such as Databricks, Azure Data Factory, or Kafka.

Experience with multi-agent systems or agentic AI orchestration frameworks.

Background in NLP, computer vision, or advanced deep learning architectures.

Experience with vector databases (Azure AI Search vector store).

Expertise in AI/ML frameworks like PyTorch, Keras, or Scikit-learn.

Experience with NLP, Computer Vision, Deep Learning, and Generative AI models.

Strong knowledge of MLOps, CI/CD for AI model deployment, and containerization (Docker, Kubernetes).

Familiarity with data engineering, ETL pipelines, and SQL/NoSQL databases.

Experience working in an enterprise environment with large-scale AI deployments.

Strong analytical, problem-solving, and communication skills.

Preferred Skills:

Experience with the Microsoft Agent Framework, Azure AI Foundry and Agent Service, Microsoft 365 Agents SDK/Toolkit, Semantic Kernel (including AutoGen convergence), RAG and vector based retrieval pipelines for agents, and enterprise grade agent tooling and integrations. based retrieval pipelines for agents, and enterprise grade agent tooling and integrations.

Experience in Multiagent orchestration patterns, Advanced retrieval for agents: GraphRAG, structured data tools (NL2SQL), and domain specific agents. agent orchestration patterns specific agents

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