Hybrid AI/ML Engineer

at Node.Digital

• Job title: AI/ML Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, NoSQL, Postgres, Python, PyTorch, SDLC, SOAP, SQL, Subversion, Tensorflow, TFS
• Location requirements: Hybrid, Herndon, United States

About the role

• AI/ML Engineer developing intelligent automation solutions using generative AI and machine learning technologies. Ensuring operational efficiency and continuous refinement of integrated AI/ML solutions with a focus on modern engineering.

Responsibilities

• 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 continuous refinement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
• 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 artificial 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.

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 fine-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, classification, 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
• 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 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

Benefits

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