Node.Digital LLC
Overview
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 efficiency and refinement of integrated AI/ML solutions with a focus on modern generative AI engineering. Location: Herndon, VA (Hybrid Work). US Citizenship is required. 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 and seek talented people to enable digitalization of organizations with AI automation and machine learning. Responsibilities
Design, maintain, and optimize intelligent automation solutions including AI Center troubleshooting and resolution of post-implementation issues. Build generative AI applications with embedded artificial intelligence or machine learning to support 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. Qualifications
Overall experience of 6-10 years in application/framework development. Minimum 5+ years of experience in AI/ML-based app/solution development with a 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 fine-tuning). Hands-on experience with OCR, ICR, and OMR technologies. Strong programming knowledge in Python and ML/AI frameworks (TensorFlow, PyTorch, LangChain). Understanding of document processing, classification, and data extraction. Knowledge of NLP, Deep Learning, and Generative AI. 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 and PostgreSQL; NoSQL and vector databases (for RAG) are 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 with toolchains including TFS, SVN, Git. Involvement in different phases of SDLC and familiarity with multiple SDLCs such as Agile methodologies. Benefits
Medical Dental Vision Basic Life Health Saving Account 401K Matching Three weeks of PTO/Sick 11 Paid Holidays Pre-Approved Online Training Salary range and location information provided in job postings may vary by source. This posting does not bind Node.Digital to any specific compensation or schedule.
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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 efficiency and refinement of integrated AI/ML solutions with a focus on modern generative AI engineering. Location: Herndon, VA (Hybrid Work). US Citizenship is required. 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 and seek talented people to enable digitalization of organizations with AI automation and machine learning. Responsibilities
Design, maintain, and optimize intelligent automation solutions including AI Center troubleshooting and resolution of post-implementation issues. Build generative AI applications with embedded artificial intelligence or machine learning to support 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. Qualifications
Overall experience of 6-10 years in application/framework development. Minimum 5+ years of experience in AI/ML-based app/solution development with a 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 fine-tuning). Hands-on experience with OCR, ICR, and OMR technologies. Strong programming knowledge in Python and ML/AI frameworks (TensorFlow, PyTorch, LangChain). Understanding of document processing, classification, and data extraction. Knowledge of NLP, Deep Learning, and Generative AI. 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 and PostgreSQL; NoSQL and vector databases (for RAG) are 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 with toolchains including TFS, SVN, Git. Involvement in different phases of SDLC and familiarity with multiple SDLCs such as Agile methodologies. Benefits
Medical Dental Vision Basic Life Health Saving Account 401K Matching Three weeks of PTO/Sick 11 Paid Holidays Pre-Approved Online Training Salary range and location information provided in job postings may vary by source. This posting does not bind Node.Digital to any specific compensation or schedule.
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