Job Description
Domestic Services is hiring a Applied AI Scientist to take on a mid-level mandate with real ownership within Artificial Intelligence & Machine Learning, operating in a domestic and household services function built around reliability and attention to detail. This is a role for someone who is expected to spend 4-7 years building credibility and, over time, own outcomes rather than just tasks.
The mandate centres on artificial intelligence & machine learning, and the person in this seat will be expected to bring depth in Service Quality Standards, Household/Facility Coordination, Vendor & Staff Scheduling, Inventory & Supplies Management, Basic Record Keeping, while also operating comfortably with ambiguity — you'll be given direction but expected to fill in the details yourself.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines. Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
On the qualifications side, we're looking at 12th Pass (for entry-level roles) as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
Compensation for this position is ₹4.7 - ₹6.8 LPA, commensurate with experience, for a Full-Time engagement based out of Mumbai. If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.
The mandate centres on artificial intelligence & machine learning, and the person in this seat will be expected to bring depth in Service Quality Standards, Household/Facility Coordination, Vendor & Staff Scheduling, Inventory & Supplies Management, Basic Record Keeping, while also operating comfortably with ambiguity — you'll be given direction but expected to fill in the details yourself.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines. Mentorship is informal but consistent — senior team members actively coach newer hires on both skills and career direction.
On the qualifications side, we're looking at 12th Pass (for entry-level roles) as a baseline, though what matters more at this level is a demonstrated track record rather than the credential itself.
This role is often a stepping stone into leadership tracks for candidates who show strong ownership early on.
Mornings are usually spent on planning and stand-ups, while the bulk of the afternoon goes into execution, coordination with stakeholders, and troubleshooting whatever comes up.
Feedback here is direct and frequent — managers expect you to speak up early rather than sit on a problem.
The team culture leans collaborative and fairly informal, with an emphasis on ownership over hierarchy.
There's a clear internal growth path, with regular skip-level reviews and structured career conversations.
The pace can be demanding during peak cycles, balanced by a genuinely supportive team that helps each other hit deadlines.
Benefits are in line with industry norms — health cover, PF, and annual leave, along with periodic performance bonuses.
Compensation for this position is ₹4.7 - ₹6.8 LPA, commensurate with experience, for a Full-Time engagement based out of Mumbai. If you think you're a strong fit, go ahead and apply — we'd rather hear from you than miss you.