Senior AI/ML Engineer

Node.Digital LLC; Herndon (VA); Híbrido; USD 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical insurance

Dental insurance

Vision insurance

401K Matching

PTO

Descripción de la vacante

Node.Digital is seeking an AI/ML Engineer in Herndon, VA for hybrid work. You will design and refine intelligent automation using generative AI, build scalable models on AWS, and create robust API integrations for AI services.

The role emphasizes AI Center governance, model evaluation, and cross-functional collaboration to embed AI across business units. A Bachelor's degree and 5+ years in automation/AI are required.

Formación

• Bachelor's degree and 5+ years in automation/AI integration
• 6–10 years in application/framework development
• Strong experience with generative AI apps and LLMs
• Proficient Python and ML frameworks, data processing

Responsabilidades

• Design and implement generative AI solutions on AWS
• Develop scalable ML/AI models on AWS infrastructure
• Create API endpoints for AI/ML services
• Lead troubleshooting for AI Center deployments
• Collaborate across teams to embed AI capabilities

Conocimientos

AI/ML development

Generative AI

Python

NLP/LLMs

AWS cloud

API development

Document processing

Multi-threading

Data structures

Security/compliance

Educación

Bachelor's degree

Herramientas

AWS Bedrock

S3

SageMaker

CDK

Lambda

OCR/ICR/OMR tech

LangChain

TensorFlow

PyTorch

Descripción del empleo

Preferred: US Citizenship

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.

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 Certifications:

• 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)

Education/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