Job Description
**RPA Integration Engineer – AI Systems** | Ahmedabad | Contract | INR 20.3-49.4 LPA
**About the role:**
- Position within Robotics Process Automation (RPA), under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for Robotics Process Automation (RPA)
**What you'll do:**
- Handle core robotics process automation (rpa) activities on a day-to-day basis
- Use Neural Network Architectures regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Neural Network Architectures
- Python
- Machine Learning
- Robotics Process Automation (RPA)
- Data Preprocessing
- M.Sc (Data Science)
- 4+ years of relevant experience
**Good to know:**
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
**About the role:**
- Position within Robotics Process Automation (RPA), under the Artificial Intelligence (AI) vertical
- Level: mid level
- Reports to the functional head for Robotics Process Automation (RPA)
**What you'll do:**
- Handle core robotics process automation (rpa) activities on a day-to-day basis
- Use Neural Network Architectures regularly as part of core deliverables
- Work closely with adjacent teams to align priorities
- Track progress against agreed timelines and escalate issues proactively
**What you'll need:**
- Neural Network Architectures
- Python
- Machine Learning
- Robotics Process Automation (RPA)
- Data Preprocessing
- M.Sc (Data Science)
- 4+ years of relevant experience
**Good to know:**
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership.
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The package is structured with a fixed component, performance bonus, and standard health coverage. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.