Job Description
**Junior Machine Learning Engineer – Dialogue Systems** | Lucknow | Contract | INR 8.2-24.8 LPA
**About the role:**
- Position within Conversational AI, under the Artificial Intelligence (AI) vertical
- Level: junior level
- Reports to the functional head for Conversational AI
**What you'll do:**
- Handle core conversational ai activities on a day-to-day basis
- Use Statistical Modelling 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:**
- Statistical Modelling
- Python
- Natural Language Processing
- Conversational AI
- M.Tech (AI/ML)
- 2+ years of relevant experience
**Good to know:**
- Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
- Compensation includes standard statutory benefits along with performance-linked variable pay. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The package is structured with a fixed component, performance bonus, and standard health coverage.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.
**About the role:**
- Position within Conversational AI, under the Artificial Intelligence (AI) vertical
- Level: junior level
- Reports to the functional head for Conversational AI
**What you'll do:**
- Handle core conversational ai activities on a day-to-day basis
- Use Statistical Modelling 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:**
- Statistical Modelling
- Python
- Natural Language Processing
- Conversational AI
- M.Tech (AI/ML)
- 2+ years of relevant experience
**Good to know:**
- Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
- There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
- Compensation includes standard statutory benefits along with performance-linked variable pay. Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
- New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
- Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
- Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. The package is structured with a fixed component, performance bonus, and standard health coverage.
- In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability.
- Most days include at least one review checkpoint where progress is discussed against the plan for the week. The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager.