Senior AI/ML Engineer

About the role

The AI/ML Engineer at Node.Digital is responsible for architecting and refining intelligent automation solutions that integrate generative AI and machine learning technologies. This role focuses on ensuring the operational efficiency and continuous improvement of these solutions.

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

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)
• Good programming knowledge in Python and relevant ML/AI frameworks (TensorFlow, PyTorch, LangChain)
• Good understanding of Document Processing, classifcation, data extraction
• Knowledge in Natural Language Processing (NLP), Deep Learning, and Generative AI
• 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
• Involved in different phases of SDLC and have good working exposure on different SDLCs like Agile Methodologies

Qualifications

• 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
• Familiarity with model distillation and prompt optimization techniques
• Understanding of responsible AI practices and AI security

Skills

• AWS Certifed Machine Learning - Specialty
• AWS Certifed Solutions Architect General AI/ML Certifcations (TensorFlow Developer, Azure AI Engineer)
• UiPath AI Center Experience (nice to have)

Pay

Commensurate with experience

Schedule

Hybrid Work