AI and Automation
Job Summary
Job Description
Lead the design development and deployment of AI and automation solutions aligned with product strategy and business goals.
Build and scale machine learning models intelligent workflows and automation frameworks to enhance product capabilities.
Collaborate with product managers data scientists and engineering teams to define AI-driven features and roadmaps.
Drive adoption of automation tools and technologies (RPA NLP ML) to improve efficiency and reduce manual effort.
Provide technical leadership mentoring and guidance to engineering teams on AI/ML and automation best practices.
Ensure scalability performance and reliability of AI solutions in production environments.
Stay updated with emerging trends in AI automation and data engineering to drive innovation.
Support integration of AI/automation solutions with existing platforms and third-party systems.
Required: 8 10 years of IT experience with strong expertise in AI/ML automation frameworks and software engineering.
Experience with cloud platforms data pipelines and model deployment is highly preferred.
Lead the design development and deployment of AI and automation solutions aligned with product strategy and business goals.
Build and scale machine learning models intelligent workflows and automation frameworks to enhance product capabilities.
Collaborate with product managers data scientists and engineering teams to define AI-driven features and roadmaps.
Drive adoption of automation tools and technologies (RPA NLP ML) to improve efficiency and reduce manual effort.
Provide technical leadership mentoring and guidance to engineering teams on AI/ML and automation best practices.
Ensure scalability performance and reliability of AI solutions in production environments.
Stay updated with emerging trends in AI automation and data engineering to drive innovation.
Support integration of AI/automation solutions with existing platforms and third-party systems.
Required: 8 10 years of IT experience with strong expertise in AI/ML automation frameworks and software engineering.
Experience with cloud platforms data pipelines and model deployment is highly preferred.