Node.Digital LLC
AI/ML Engineer
Location: Herndon, VA (Hybrid Work)
Preferred: 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.
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
Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre‑Approved Online Training
#J-18808-Ljbffr
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.
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
Medical
Dental
Vision
Basic Life
Health Saving Account
401K Matching
Three weeks of PTO/Sick
11 Paid Holidays
Pre‑Approved Online Training
#J-18808-Ljbffr