Senior AI/ML Engineer at Node.Digital – Herndon | Jobyssey

Senior 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:

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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