Role overview
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 efciency and continuous refnement of integrated AI/ML solutions with a strong focus on modern generative AI engineering.
*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
What you'll work on
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.
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
What we're looking for
Familiarity with model distillation and prompt optimization techniques
Understanding of **responsible AI practices and AI security
Recommended Certifcations:**
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)