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Location: Herndon, VA (Hybrid Work) Required: US Citizenship Node.Digital is an innovative solutions development comp...

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Company Description Department: DT/Emergent Technology Job class: 1042 IS Engineer Salary range: [$138,684.00 - $174,...

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Senior Data Engineer Job ID#: 25-1071 Clearance: Secret Location: Herndon, VA Who We Are Since our inception back in ...

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Title : AI/ML Engineer – Azure & C# Location : Remote from the U.S. Industry: Powersports Duration: 12 months with po...

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Generative AI Engineer - Pre-IPO Tech Company About The Role We are seeking a talented Generative AI Engineer to help...

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We’re building the foundation for intelligent, adaptive AI systems from multi-agent platforms and RAG pipelines to ad...

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Selected role

AI/ML Engineer

Node.Digital LLC Herndon, VA

$401k Senior Full-time

Location: Herndon, VA (Hybrid Work)
Required: US Citizenship
Node.Digital
is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning.

Role: AI/ML Engineer
The AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efciency and continuous refnement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.

Requirements
Required Skills:

Overall experience of 6-10 Years working on Application/framework development
Min 5+ years of exp in AI/ML-based app/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 (LLMs, RAG architectures, prompt engineering, model fne-tuning)
Hands-on exp with OCR, ICR and OMR technologies is a must
Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
Good understanding of Document Processing, classifcation, data extraction is a must
Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI is a must
Hands-on Web application/APIs Development experience is a must
Profciency 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 concepts and Database concepts Experience with databases like SQL Server, PostgreSQL
Experience with NoSQL databases and vector databases (for RAG implementations) 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 working with a toolchain that includes TFS, SVN, Git
Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies

Responsibility:
Your responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation. You will focus on
building generative AI applications
with embedded artifcial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.

Key responsibilities include:

Designing and implementing
generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures
Building repeatable intelligent solutions/bots for document processing and data cleansing

Developing and deploying
scalable ML/AI models on AWS infrastructure
Creating
API endpoints and integrations
for AI/ML services

Implementing
model evaluation, monitoring, and continuous improvement
processes Collaborating with cross-functional teams to embed AI capabilities across business functions

Nice to Have:
Experience with
front-end frameworks
(React, Angular, Vue.js) and modern web development
UiPath RPA Developer Certifcation
and UiPath AI Center Experience

Knowledge of
chatbot development and conversational AI
Experience with
AWS Bedrock Agents and Guardrails
Familiarity with
model distillation and prompt optimization techniques
Understanding of
responsible AI practices and AI security
Recommended Certifcations:
AWS Certifed Machine Learning - Specialty

AWS Certifed Solutions Architect

General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer

UiPath AI Center Experience (nice to have)

Eucation/Year of Exp:
Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations and
generative AI application development
Cultural Fit:
Effective communication skills for technical discussions

Comfortable with Agile methodologies

Ability to work remotely

Alignment with customer's mission and values

Adaptability to varying organizational structures

Data Analysis and Data Architecture Skills

Strong problem-solving abilities for complex AI/ML challenges

Benefits

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

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