Ai/rpa Solution Architect
3 months ago
Chennai, India
- DOP SLH
- 3110113
***:
**Job Title: AI/RPA Solution Architect**Key Responsibilities**:
- ** Solution Design**: Architect and implement AI and RPA solutions tailored to meet specific business needs, ensuring scalability and efficiency.
- ** Collaboration**: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to seamlessly integrate AI/ML models and RPA workflows.
- ** Model Development**: Develop and maintain scalable AI/ML models using Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, and spaCy.
- ** RPA Leadership**: Lead the architecture and development of RPA solutions using Automation Anywhere (AA 360) and Power Platform, ensuring robust and efficient automation processes.
- ** Best Practices**: Ensure adherence to best practices in AI/ML and RPA development, including code quality, testing, and documentation.
- ** Mentorship**: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
- ** Innovation**: Stay abreast of the latest advancements in AI and RPA technologies, and proactively incorporate new tools and methodologies to enhance solution offerings.
**Requirements**:
- ** Experience**: 7-10 years of experience in implementing AI and RPA technologies
- ** Technical Skills**:Must Have**
1. Well versed in Microsoft Stack i.e. Azure ML/Cognitive Services, AI Builder etc.
2. Proficiency in Python and its libraries for AI/ML and NLP tasks (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy)
- ** RPA Tools**: Extensive experience with RPA tools, specifically Automation Anywhere (AA 360) and Power Automate
- ** Problem-Solving**: Strong problem-solving skills and the ability to thrive in a fast-paced environment
- ** Communication**: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders
- ** Education**: A master’s degree and/or degree in Computer Science, Engineering, or a related field is preferred
**Preferred Qualifications**:
- ** Cloud Platforms**: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML models.
- ** Additional Languages**: Knowledge of other programming languages such as HTML, CSS, JavaScript, and C#.
- ** Certifications**: Certification in AI/ML or RPA technologies.
- ** Tools and Technologies**: Familiarity with additional tools and technologies such as Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines for streamlined development and deployment processes.
- RPA
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.
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