AI/ML Engineer architecting intelligent automation solutions, focusing on generative AI applications at Node.Digital. Collaborating to deliver AI/ML solutions for various clients.
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)
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
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.