Senior AI/ML Engineer

Node.Digital

. Design, maintain, and optimize intelligent automation solutions .

Posted 10/16/2026full-timeHerndon • Virginia • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing generative AI solutions using AWS services, with a strong focus on automation and machine learning model deployment. Proficient in developing scalable applications and integrating AI capabilities across various business functions.

Highest-signal resume keywords

Generative AI Application DevelopmentAWS Services (Amazon Bedrock, SageMaker, Lambda)Machine Learning Model DeploymentPython ProgrammingCI/CD Pipelines

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Generative AI ModelsMachine Learning Frameworks (TensorFlow, PyTorch)Document Processing Technologies (OCR, ICR, OMR)API DevelopmentAsynchronous ProgrammingAlgorithms and Data StructuresSQL ServerPostgreSQLNoSQL DatabasesNatural Language Processing (NLP)

Tools & Technologies

AWS Cloud ArchitectureDevSecOps PracticesAgile MethodologiesTFSGit

Certifications & Qualifications

AWS Certified Machine Learning – SpecialtyAWS Certified Solutions ArchitectTensorFlow Developer CertificationAzure AI Engineer CertificationUiPath RPA Developer Certification

Industry Keywords

Intelligent Automation SolutionsAI/ML IntegrationsRAG ArchitecturesModel Evaluation and MonitoringCross-Functional Collaboration

Tech Stack

Tools & technologies

AWSAzureCloudNoSQLPostgresPythonPyTorchRPASDLCSOAPSQLSubversionTensorflowTFS

About the role

Key responsibilities & impact

Design, maintain, and optimize intelligent automation solutions
Troubleshoot and resolve AI Center issues arising after implementation
Build generative AI applications with embedded artificial intelligence or machine learning
Design and implement generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
Build repeatable intelligent solutions and bots for document processing and data cleansing
Develop and deploy scalable ML/AI models on AWS infrastructure
Create API endpoints and integrations for AI/ML services
Implement model evaluation, monitoring, and continuous improvement processes
Collaborate with cross-functional teams to embed AI capabilities across business functions

Requirements

What you’ll need

Overall experience of 6-10 Years working on Application/framework development
Minimum 5+ years of experience in AI/ML-based application/solution development with strong focus on generative AI applications
Hands-on experience with AWS services including Amazon Bedrock, S3, SageMaker, CDK, Lambda, and other AI/ML services
Experience with generative AI models and frameworks, including LLMs, RAG architectures, prompt engineering, and model fine-tuning
Hands-on experience with OCR, ICR, and OMR technologies
Good programming knowledge in Python and relevant ML/AI frameworks, including TensorFlow, PyTorch, and LangChain
Understanding of document processing, classification, and data extraction
Knowledge of Natural Language Processing (NLP), Deep Learning, and Generative AI
Hands-on web application/API development experience
Proficiency in asynchronous/multi-threaded programming
Strong knowledge of algorithms, data structures, complexity, optimization, caching, and security
Experience with JSON, SOAP, REST, XML, XHTML, XSD, and XSLT
Strong knowledge of object-oriented and database concepts
Experience with SQL Server and PostgreSQL
Experience with NoSQL and vector databases is a plus
Knowledge of AWS cloud architecture patterns and serverless computing
Experience with CI/CD pipelines and DevSecOps practices
Knowledge of Agile methodologies is desirable
Experience with TFS, SVN, and Git
Experience across different phases and methodologies of the SDLC
Bachelor's degree and a minimum of 5 years of experience in automation engineering roles focused on AI/ML integrations and generative AI application development
Preferred: US Citizenship
AWS Certified Machine Learning – Specialty certification recommended
AWS Certified Solutions Architect certification recommended
General AI/ML certifications recommended, including TensorFlow Developer or Azure AI Engineer
UiPath RPA Developer Certification and UiPath AI Center experience are nice to have

Benefits

Comp & perks

Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre-Approved Online Training