AI/RPA Automation Engineer

3 days ago

Rajkot, India Welspun Transformation Services Limited Full time
Job Description

As a Multi Agent AI/RPA Automation Engineer Manager, you will be responsible for leading the design, development, and implementation of AI models and Robotic Process Automation (RPA) solutions. You will be working closely with various teams to understand business processes and identify areas for automation. You will also be responsible for managing the integration of AI/RPA solutions into existing systems and ensuring their optimal performance.

Responsibilities of Multi Agent AI/RPA Automation Engineer

- Lead the design and development of AI models and RPA solutions to automate business processes.- Collaborate with various teams to understand business processes and identify areas for automation.- Manage the integration of AI/RPA solutions into existing systems and ensure their optimal performance.- Conduct system integration testing to ensure the functionality and efficiency of AI/RPA solutions.- Utilize tools such as Automation Anywhere, Blue Prism, Tensorflow, Pytorch, and cloud platforms (AWS, GCP, Azure) in the development and implementation of AI/RPA solutions.- Optimize processes through the application of AI/RPA solutions and monitor their effectiveness.- Stay updated with the latest AI/RPA technologies and trends and implement them as appropriate.- Ensure accountability and customer focus in all AI/RPA projects.- Communicate effectively with all stakeholders, including team members, management, and customers.- Manage changes effectively to ensure minimal disruption to business processes.- Develop and orchestrate AI models in real-world applications, ensuring their effectiveness and efficiency.

Functional Competencies

- RPA Development: The candidate should have a strong understanding of Robotic Process Automation (RPA) concepts and the ability to design, develop, and implement RPA solutions to automate repetitive tasks and manual processes.- AI/ML: Proficiency in Artificial Intelligence and Machine Learning is required. The candidate should be able to design and implement AI/ML models to solve complex business problems.- System Integration Testing: The candidate should have experience in conducting system integration testing to ensure that all components of the system work together seamlessly.- Automation Anywhere, Blue Prism: Expertise in RPA tools like Automation Anywhere and Blue Prism is essential. The candidate should be able to develop bots and automate processes using these tools.- Process Optimization: The candidate should have the ability to analyze current processes, identify areas for improvement, and implement solutions to optimize these processes.- NLP, Tensorflow, Pytorch: Proficiency in Natural Language Processing and deep learning frameworks like Tensorflow and Pytorch is required. The candidate should be able to develop and implement NLP models and deep learning algorithms.- AWS, GCP, Azure: The candidate should have experience working with cloud platforms like AWS, GCP, and Azure. They should be able to deploy and manage applications on these platforms.

Behavioural Competencies

- Accountability: The candidate should take responsibility for their actions and decisions, and be able to deliver on their commitments.- Change Management: The candidate should be able to manage and adapt to change effectively, and help others navigate through change.- Customer Focus: The candidate should have a strong customer focus and be able to understand and meet customer needs.- Communication: The candidate should have excellent communication skills, and be able to effectively convey information and ideas to others.

Good to have skills

- AI model development and orchestration in realworld applications: The candidate should have a deep understanding of AI model development and orchestration. They should be able to develop AI models and orchestrate them in realworld applications to solve complex business problems.

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