Job Description
**Senior Machine Learning Advisor** | Mumbai | Full-time | INR 12.2-26.7 LPA
**About the role:**
- Position within Quantum Machine Learning, under the Quantum Computing & Technology vertical
- Level: mid level
- Reports to the functional head for Quantum Machine Learning
**What you'll do:**
- Handle core quantum machine learning activities on a day-to-day basis
- Use Quantum Machine Learning 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:**
- Quantum Machine Learning
- Research Documentation
- Qiskit/Cirq Programming
- Machine Learning Basics
- Quantum Algorithms
- Statistical Analysis
- Cloud Quantum Platforms (IBM Q/Azure Quantum)
- Quantum Circuit Design
- M.Sc/M.Tech (Quantum Computing)
- 5+ years of relevant experience
**Good to know:**
- High performers in this role typically move into a broader ownership scope within 18-24 months. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
**About the role:**
- Position within Quantum Machine Learning, under the Quantum Computing & Technology vertical
- Level: mid level
- Reports to the functional head for Quantum Machine Learning
**What you'll do:**
- Handle core quantum machine learning activities on a day-to-day basis
- Use Quantum Machine Learning 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:**
- Quantum Machine Learning
- Research Documentation
- Qiskit/Cirq Programming
- Machine Learning Basics
- Quantum Algorithms
- Statistical Analysis
- Cloud Quantum Platforms (IBM Q/Azure Quantum)
- Quantum Circuit Design
- M.Sc/M.Tech (Quantum Computing)
- 5+ years of relevant experience
**Good to know:**
- High performers in this role typically move into a broader ownership scope within 18-24 months. The package is structured with a fixed component, performance bonus, and standard health coverage.
- Performance is reviewed on a structured cycle, with clear criteria for movement into the next band. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments.
- There is a defined internal mobility path for people who want to specialise deeper or move into people management. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. Compensation includes standard statutory benefits along with performance-linked variable pay. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
- The organisation has historically promoted from within for a majority of its senior and lead openings. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.