Posted on: 04/12/2025
Description :
Job Description :
The ideal candidate will be responsible for designing, developing, and implementing AI-driven solutions and RPA processes to enhance operational efficiency, streamline workflows, and drive innovation across the organization. The successful candidate will possess strong technical skills, an analytical mindset, and the ability to work collaboratively within a multidisciplinary team.
Key Responsibilities :
AI Development :
- Collaborate with cross-functional teams to identify opportunities for AI implementation and integration into existing systems.
- Optimize and maintain AI models for performance and accuracy while scaling solutions as required.
RPA Implementation :
- Analyze business processes to identify inefficiencies and opportunities for automation.
- Develop, test, and deploy RPA robots to automate repetitive tasks and workflows using RPA tools - Automation Anywhere.
- Monitor and troubleshoot RPA processes to ensure maximum uptime and performance efficiency.
Collaboration & Communication :
- Educate and train team members and end-users on the use of AI and RPA solutions.
Documentation & Reporting :
- Generate reports on automation impact and AI performance metrics for management review.
Continuous Improvement :
- Recommend enhancements and innovations to improve existing systems and processes.
Required Skills and Qualifications :
- One year of Proven experience in AI development (machine learning, deep learning, NLP) and proficiency with relevant programming languages (e.g., Python, R, Java).
- Minimum 2 years of Hands-on experience with RPA tools - Automation Anywhere.
- Strong understanding of data structures, algorithms, and software development methodologies.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/RPA services are a plus.
- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
- Strong communication skills, both written and verbal, with the ability to explain complex concepts to non-technical stakeholders.
Preferred Qualifications :
- Knowledge of additional programming languages (e.g., C#, JavaScript) and database management (SQL).
- Certifications in AI (e.g., Google AI, Microsoft AI) and RPA (e.g., UiPath Certified Professional) are highly regarded.
Benefits & Perks :
- Equity Rewards (RSUs)
- Employee Stock Purchase Plan (ESPP)
- Insurance plans with Outpatient cover
- National Pension Scheme (NPS)
- Flexible work policy
- Childcare support
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