Job Description
Generative AI Lab Assistant | Lucknow | INR 12.4-27.4 LPA
Generative AI role, junior level, full-time.
Need: M.Tech (Machine Learning), 0+ yrs.
Core skills: Statistical Modelling, Python, Model Evaluation & Tuning, Machine Learning Algorithms, Generative AI.
If this fits your profile in generative ai, apply now.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Interested candidates should be prepared to walk through relevant past work during the interview process.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Compensation includes standard statutory benefits along with performance-linked variable pay.
The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The next logical step from this position is a senior or lead-track role within the same function.
Generative AI role, junior level, full-time.
Need: M.Tech (Machine Learning), 0+ yrs.
Core skills: Statistical Modelling, Python, Model Evaluation & Tuning, Machine Learning Algorithms, Generative AI.
If this fits your profile in generative ai, apply now.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. The role alternates between independent deep work and short coordination huddles with stakeholders across functions.
Benefits include health insurance, provident fund contributions, and paid leave in line with company policy. Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. Interested candidates should be prepared to walk through relevant past work during the interview process.
Candidates are encouraged to highlight measurable outcomes from previous roles rather than just responsibilities held. 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.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Compensation includes standard statutory benefits along with performance-linked variable pay.
The organisation has historically promoted from within for a majority of its senior and lead openings. High performers in this role typically move into a broader ownership scope within 18-24 months.
In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Leave policy follows standard industry norms, including earned leave, sick leave, and public holidays as applicable. There's usually a block of uninterrupted time set aside for focused work, separate from meetings and coordination calls. There is a defined internal mobility path for people who want to specialise deeper or move into people management.
The hiring process typically includes a screening round, a technical or functional assessment, and a final discussion with the reporting manager. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction.
New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables. Most days include at least one review checkpoint where progress is discussed against the plan for the week.
Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone. The next logical step from this position is a senior or lead-track role within the same function.