Their responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation.
They will also explore options to build automation with embedded artificial intelligence or machine learning in support of continuous improvement, learning, and augmented decision-making.
They will also focus on building repeatable intelligent solutions/bots for document processing and data cleansing among others.
They will be familiar with technologies and approaches like RAG, Model Integration, Model Tuning Methodologies, Data Operations, Synthetic Data Generation, Bias Monitoring, Drift Monitoring, and building AI/ML pipelines for production AI.
Requirements & Skills:
Bachelor’s degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations.
Recommended Certifications:
AWS or Microsoft or Google AI/ML Certifications
General AI/ML Certifications
Effective communication skills for technical discussions
Comfortable with Agile methodologies
Ability to work remotely.
Alignment with customer’s mission and values
Adaptability to varying organizational structures.
