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Cisco is hiring an AI Process Automation Expert to lead the design, development, and deployment of intelligent automation solutions across enterprise workflows. This role drives large-scale AI-powered process transformation by combining deep technical expertise in AI/ML with strong business insight to deliver scalable, secure, and high-impact automation across Cisco’s global operations.
Location: Bangalore, India
Job Type: Hybrid
Job ID: 1450011
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Creates AI automation systems through the development of machine learning systems, LLM technology, computer vision technology and natural language processing systems.
Build complete automation solutions which connect AI models with business systems through their APIs and robotic process automation systems.
Develop custom AI solutions through the process of customizing existing AI tools and frameworks and testing their performance against business challenges.
Create data preprocessing processes which include feature engineering and model training and fine-tuning and evaluation workflows.
Work with business stakeholders to create workflow maps which show current process inefficiencies and areas suitable for automation.
Convert business needs into technical solutions which can grow with the company and fulfill its strategic objectives.
CROI models to measure projects' effects which enables them to choose which AI automation projects to implement.
Create new processes which enable organizations to grow their operations while maintaining sustainable value.
Launch AI automation systems into production environments while prioritizing system reliability and operational capacity and protection against security threats.
Establish connections between AI technologies and ERP systems and CRM systems and workflow management applications and third-party systems.
Oversee system operations which includes system upkeep and system enhancements for automated systems that have been launched.
Make sure that all activities follow data privacy rules and security regulations and ethical AI guidelines.
Establish evaluation standards together with monitoring systems and procedures for evaluating model performance throughout time.
Prepare documentation which includes workflow descriptions and system design information and model performance details and records of modifications.
Work with data teams and engineers and business units to implement automation projects.
Explains complex AI ideas to non-technical audiences through clear communication.
Conduct workshops and training programs and discovery meetings to find new business prospects.
Machine Learning & AI: LLMs, machine learning, computer vision, NLP, prompt engineering, RAG, fine-tuning
Programming: Python
Frameworks & Tools: TensorFlow, PyTorch, LangChain, vector databases
Automation & Systems: RPA tools (UiPath, Automation Anywhere), workflow orchestration, API integration, ETL
Cloud & MLOps:AWS, Azure, GCP, MLOps best practices, deployment and monitoring pipelines
Practical expertise in AI and machine learning tools together with enterprise automation systems.
Possesses expert knowledge about LLM functioning, prompt development, RAG technology, and system optimization through fine-tuning.
Experience in implementing AI technologies to work with both enterprise systems and robotic process automation platforms.
Exceptional analytical abilities and problem-solving competencies which they apply to business-related challenges.
Possesses outstanding abilities for communicating with others and engaging stakeholders.
Experience delivering enterprise-grade AI automation at scale
Background in consulting, digital transformation, or process improvement
Certifications in AI/ML, RPA, cloud platforms, or process improvement (e.g., Lean Six Sigma)
Cisco functions as a worldwide technology leader, providing networking and security and digital infrastructure solutions which use artificial intelligence. Cisco has developed innovative solutions for more than 40 years, enabling organizations to create secure digital and physical connections which support their organizational growth and transformation while building a workplace culture that values impactful work and inclusive practices and future-oriented technological solutions.
