Description
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.
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 ExperienceKnowledge 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 – SpecialtyAWS Certifed Solutions ArchitectGeneral AI/ML Certifcations (TensorFlow Developer, Azure AI EngineerUiPath 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 discussionsComfortable with Agile methodologiesAbility to work remotelyAlignment with customer's mission and valuesAdaptability to varying organizational structuresData Analysis and Data Architecture SkillsStrong 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
