Senior AI/ML Engineer

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

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, Sage. Maker, 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 (Tensor.

Flow, Py. Torch, Lang. Chain) 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 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 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 Ui. Path RPA Developer Certifcation and Ui. Path 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 (Tensor.

Flow Developer, Azure AI Engineer Ui. Path 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