Automation Lead

About Kidde Global Solutions:

Kidde Global Solutions is a world leader in fire & life safety solutions tailored for complex commercial facilities to homes. Through iconic, industry-defining brands including Kidde, Kidde Commercial, Edwards, GST, Badger, Gloria and Aritech, we provide residential and commercial customers with advanced solutions and services to protect people and property in a wide range of applications, all around the globe.

Role: AI and Automation Architect

Location: Hyderabad

Employment Type: Full-time

Position Overview:

AI and

Key Responsibilities:

• Automation Strategy and Design
• AI and BOT Integration
• Solution Development and Deployment using MLOps on AWS Cloud Platform
• Stakeholder Collaboration
• Governance and Compliance
• Innovation and Continuous Improvement

Qualifications:

Skills and Competencies:

• Develop and implement enterprise-wide intelligent automation strategies by integrating RPA with AI capabilities (e.g., natural language processing, machine learning).
• Analyze business processes to identify automation opportunities and recommend solutions.
• Define and establish automation frameworks and best practices.
• Architect and deploy AI-enabled bots that integrate with enterprise platforms like Service Now, Workday etc.
• Collaborate with AI engineers and data scientists to leverage machine learning models in automation workflows.
• Oversee the development and deployment of bots, ensuring they adhere to quality and security standards.
• Partner with business teams, IT departments, and process owners to understand automation needs and deliver impactful solutions.
• Establish MLOps / AIOps frameworks to ensure compliance with organizational and regulatory standards.
• Ensure automated solutions are secure, auditable, and aligned with data privacy laws (e.g., GDPR, CCPA).
• Stay updated on emerging technologies in AI and automation and assess their applicability to the organization.
• Drive continuous improvement in automation processes, leveraging feedback and analytics for optimization.

Education:

Experience:

• 12+ years of experience in automation, including 3+ years in an architect or leadership role.

Platform Development and Evangelism:

• Build scalable AI platforms that are customer-facing.
• Evangelize the platform with customers and internal stakeholders.
• Ensure platform scalability, reliability, and performance to meet business needs.

Machine Learning Pipeline Design:

• Design ML pipelines for experiment management, model management, feature management, and model retraining.
• Implement A/B testing of models.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.

LLM Serving and GPU Architecture:

• Serve as an SME in LLM serving paradigms.
• Possess deep knowledge of GPU architectures.
• Expertise in distributed training and serving of large language models.
• Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.

Model Fine-Tuning and Optimization:

• Demonstrate proven expertise in model fine-tuning and optimization techniques.
• Achieve better latencies and accuracies in model results.
• Reduce training and resource requirements for fine-tuning LLM and LVM models.

LLM Models and Use Cases:

• Have extensive knowledge of different LLM models.
• Provide insights on the applicability of each model based on use cases.
• Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases.

DevOps and LLMOps Proficiency:

• Proven expertise in DevOps and LLMOps practices.