Node. Digital
Technology
SeniorAI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI/ML Engineer at Node. Digital. Skills: AI/ML, Generative AI, AWS, Python. Design intelligent automation solutions. Maintain intelligent automation solutions”
Industry & Context.
Complex AI/ML challenges
US Citizenship
What They're Looking For.
Must Have
6-10 Years Application/framework development, Min 5+ years AI/ML app/solution development, Hands-on AWS services experience, Hands-on generative AI models experience, Hands-on OCR, ICR and OMR technologies, Good Python programming knowledge, Good Document Processing understanding, Knowledge in NLP, Deep Learning, Generative AI, Hands-on Web application/APIs Development, Proficiency in asynchronous/multi-threaded programming, Knowledge of algorithms, data structures, Experience with JSON, SOAP, Rest, XML, Knowledge of object-oriented concepts, Knowledge of Database concepts, Experience with CI/CD pipelines, Experience with DevSecOps practices, Experience with TFS, SVN, Git, Experience with SDLC phases, Bachelor's degree, Minimum 5 years automation engineering experience
Nice to Have
Experience with NoSQL databases, Experience with vector databases, Knowledge of AWS cloud architecture patterns, Knowledge of serverless computing, Knowledge of Agile methodologies, Front-end frameworks experience, UiPath RPA Developer Certification, UiPath AI Center Experience, Knowledge of chatbot development, Knowledge of conversational AI, Experience with AWS Bedrock Agents, Experience with AWS Guardrails, Familiarity with model distillation, Familiarity with prompt optimization, Understanding of responsible AI practices, Understanding of AI security, AWS Certified Solutions Architect
What You'll Do.
Design intelligent automation solutions
Maintain intelligent automation solutions
Optimize intelligent automation solutions
Troubleshoot AI Center issues
Resolve post-implementation issues
Build generative AI applications
Embed artificial intelligence
Embed machine learning
Support continuous improvement
Support augmented decision-making
Design generative AI solutions
Implement generative AI solutions
Build foundation models
Build RAG architectures
Build repeatable intelligent solutions
Develop scalable ML/AI models
Deploy scalable ML/AI models
Create integrations for AI/ML services
Implement model evaluation
Implement model monitoring
Implement continuous improvement processes
Embed AI capabilities across business functions
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Technical discussions
Process & Methodology
Agile Methodologies
Full Job Description
**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** **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 co
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