AI/ML Engineer (Midlevel)

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.
Requirements
Required Skills:
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:
Bachelors 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 customers 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