Job Description
**AI RPA Deployment Engineer** | Ahmedabad | Hybrid | INR 4.4-19.2 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 Cloud Platforms (AWS/GCP/Azure) 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:**
- Cloud Platforms (AWS/GCP/Azure)
- Model Deployment (MLOps)
- Robotics Process Automation (RPA)
- Statistical Modelling
- Python
- Neural Network Architectures
- Machine Learning
- M.Sc (Data Science)
- 5+ years of relevant experience
**Good to know:**
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. References may be requested closer to the offer stage rather than at the start of the process.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.
**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 Cloud Platforms (AWS/GCP/Azure) 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:**
- Cloud Platforms (AWS/GCP/Azure)
- Model Deployment (MLOps)
- Robotics Process Automation (RPA)
- Statistical Modelling
- Python
- Neural Network Architectures
- Machine Learning
- M.Sc (Data Science)
- 5+ years of relevant experience
**Good to know:**
- Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round. High performers in this role typically move into a broader ownership scope within 18-24 months.
- Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls.
- The role alternates between independent deep work and short coordination huddles with stakeholders across functions. The next logical step from this position is a senior or lead-track role within the same function.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. References may be requested closer to the offer stage rather than at the start of the process.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The team follows a flat structure where ideas are evaluated on merit rather than hierarchy, and feedback flows in both directions.