Node.Digital
Overview
AI/ML Engineer
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.
Responsibilities Core responsibilities
include 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 artificial 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
Qualifications
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 fine-tuning)
Hands-on exp with OCR, ICR and OMR technologies
Strong programming knowledge in
Python and relevant ML/AI frameworks
(TensorFlow, PyTorch, LangChain)
Good understanding of Document Processing, classification, data extraction
Knowledge in
NLP, Deep Learning, and Generative AI
Hands-on Web application/APIs 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 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
Nice to Have
Experience with
front-end frameworks
(React, Angular, Vue.js) and modern web development
UiPath RPA Developer Certification
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
Certifications
AWS Certified Machine Learning – Specialty
AWS Certified Solutions Architect
General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer)
UiPath AI Center Experience (nice to have)
Education/Experience 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
#J-18808-Ljbffr
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.
Responsibilities Core responsibilities
include 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 artificial 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
Qualifications
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 fine-tuning)
Hands-on exp with OCR, ICR and OMR technologies
Strong programming knowledge in
Python and relevant ML/AI frameworks
(TensorFlow, PyTorch, LangChain)
Good understanding of Document Processing, classification, data extraction
Knowledge in
NLP, Deep Learning, and Generative AI
Hands-on Web application/APIs 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 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
Nice to Have
Experience with
front-end frameworks
(React, Angular, Vue.js) and modern web development
UiPath RPA Developer Certification
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
Certifications
AWS Certified Machine Learning – Specialty
AWS Certified Solutions Architect
General AI/ML Certifications (TensorFlow Developer, Azure AI Engineer)
UiPath AI Center Experience (nice to have)
Education/Experience 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
#J-18808-Ljbffr