Node.Digital

Senior AI/ML Engineer

Node.Digital

full-time

Posted on:

Location Type: Hybrid

Location: Herndon • Virginia • United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AWSCloudNoSQLPostgresPythonPyTorchSDLCSOAPSQLSubversionTensorflowTFS

About the role

  • The AI/ML Engineer is the architect and guardian of intelligent automation solutions incorporating generative AI and machine learning technologies.
  • Ensures operational efficiency and continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
  • Responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation.
  • Focus on building generative AI applications with embedded artificial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making.

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 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
  • **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
Benefits
  • - Medical
  • - Dental
  • - Vision
  • - Basic Life
  • - Health Saving Account
  • - 401K Matching
  • - Three weeks of PTO/Sick
  • - 11 Paid Holidays
  • - Pre-Approved Online Training
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI/ML application developmentgenerative AI applicationsAWS servicesPythonOCR technologiesNatural Language Processing (NLP)Deep LearningCI/CD pipelinesasynchronous programmingNoSQL databases
Soft Skills
operational efficiencycontinuous improvementcollaborationproblem-solvingcommunicationadaptabilitycritical thinkingteamworkleadershiporganizational skills