AI/ML Engineer
Listed on 2026-02-15
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Preferred: US Citizenship
OverviewThe AI/ML Engineer is the architect and guardian of intelligent automation solutions that incorporate generative AI and machine learning technologies. They ensure the operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
Role: AI/ML Engineer
Location: Herndon, VA (Hybrid Work)
Company: 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.
- Design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation.
- Build generative AI applications with embedded artificial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.
- Design and implement generative AI solutions using Amazon Bedrock, foundation models, and RAG architectures.
- Build repeatable intelligent solutions/bots for document processing and data cleansing.
- Develop and deploy scalable ML/AI models on AWS infrastructure.
- Create API endpoints and integrations for AI/ML services.
- Implement model evaluation, monitoring, and continuous improvement processes.
- Collaborate with cross-functional teams to embed AI capabilities across business functions.
- Overall experience of 6-10 years working on application/framework development.
- Minimum 5+ years of experience in AI/ML-based app/solution development with strong focus on generative AI applications.
- Hands-on experience with AWS services including Amazon Bedrock, S3, Sage Maker, CDK, Lambda, and other AI/ML services.
- Experience with generative AI models and frameworks (LLMs, RAG architectures, prompt engineering, model fine-tuning).
- Hands-on experience with OCR, ICR and OMR technologies.
- Strong programming knowledge in Python and relevant ML/AI frameworks (Tensor Flow, PyTorch, Lang Chain).
- Good understanding of Document Processing, classification, data extraction.
- Knowledge in NLP, Deep Learning, and Generative AI.
- Hands-on web application/API 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 SQL Server, Postgre
SQL. - Experience with No
SQL 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 Dev Sec Ops practices.
- Knowledge of Agile methodologies is desirable.
- Experience working with a toolchain that includes TFS, SVN, Git.
- Involved in different phases of SDLC and exposure to different SDLC methodologies such as Agile.
- 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.
- AWS Bedrock Agents and Guardrails.
- Familiarity with model distillation and prompt optimization techniques.
- Understanding of responsible AI practices and AI security.
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.
- 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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