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Ai Engineer Developer Jobs in Washington (NOW HIRING)

AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business ...

AI Engineer

Washington, DC · On-site

$141K - $236K/yr

The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern ...

... and modern DevOps/MLOps practices. • Optimize performance, latency, scalability, and ... AI controls for secure and trustworthy solutions. • Stay current on emerging GenAI technologies ...

Overview We have an immediate need for an Artificial Intelligence (AI) Engineer to support TO-005, Report Authoring and Dissemination (RAD). This role will work closely with system and software ...

Overview We have an immediate need for an Artificial Intelligence (AI) Engineer to support TO-005, Report Authoring and Dissemination (RAD). This role will work closely with system and software ...

Overview We have an immediate need for an Artificial Intelligence (AI) Engineer to support TO-005, Report Authoring and Dissemination (RAD). This role will work closely with system and software ...

The AI Engineer will provide technical advisory support for AI-enabled applications and collaborate with teams to develop practical solutions using modern AI systems. Responsibilities : • Provide ...

They are seeking an AI Engineer to provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows, while collaborating with various ...

AI Engineer

Mclean, VA · On-site

$98K - $163K/yr

Certifications in cloud architecture, DevOps, or AI/ML (e.g., AWS/Azure/GCP, Databricks, Kubernetes ... Experience contributing to client-facing engineering in consulting or product environments.

AI Engineer

Mclean, VA · On-site

$98K - $163K/yr

Certifications in cloud architecture, DevOps, or AI/ML (e.g., AWS/Azure/GCP, Databricks, Kubernetes ... Experience contributing to client-facing engineering in consulting or product environments.

Develop AI?powered developer tools, including: * Code generation assistants * Test automation agents * Knowledge retrieval systems (RAG) * Integrate AI systems with enterprise platforms, APIs, and ...

AI Engineer - SETA

Columbia, MD · On-site

$240K - $280K/yr

The AI Engineer - SETA wil provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on ...

Showing results 41-60

Ai Engineer Developer information

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

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Full-time

Re-posted 16 days ago


Job description

Job Summary:
Avid Technology Professionals is seeking an AI Engineer to lead the design and development of AI-driven solutions. The role involves collaborating with cross-functional teams, conducting data analysis, and developing machine learning models to improve existing systems.
Responsibilities:
• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
• This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.
• Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and nontechnical stakeholders.
• Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements.
• Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
• Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
Qualifications:
Required:
• Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
• Prototyping new models, writing production-quality code, and maintaining existing AI systems.
• Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts.
• Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and nontechnical stakeholders.
• Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
• Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements.
• Implement robust testing and validation strategies to ensure models are accurate and unbiased.
• Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
• Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
Company:
ATP is a successful and growing team of exceptional IT professionals. Good pay. Great benefits. Empowering employees. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.