AI/ML Engineer

Node.Digital•Herndon, VA

5h•Hybrid

About The Position

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, 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

Nice To Haves

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

Responsibilities

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