Applied AI Scientist, GenAI and ML Prototyping

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Applied AI Scientist, GenAI and ML Prototyping Noida, Uttar Pradesh, India Applied AI Scientist, GenAI and ML Prototyping Noida, Uttar Pradesh, India Posted Sunday, May 3, 2026 Designation: Applied AI Engineer, GenAI and ML Prototyping Experience: 4-6 years Location: REMOTE Role Overview We are looking for an Engineer/Data Scientist to lead the identification and rapid prototyping of AI solutions across our business - spanning both internal operations and customer-facing products. This role sits at the earliest and most critical stage of our AI delivery lifecycle: Discovery and Proof of Concept. You will partner with Senior and Principal engineers and work directly with department heads and product owners to uncover where AI can create meaningful impact, then design and build working prototypes that demonstrate clear, measurable value. You will own the process from problem framing through to a validated, decision-ready POC - determining whether the right solution is a rule-based system, a traditional machine learning model, or an LLM-based agentic workflow. Once a prototype is approved, you will work in close collaboration with the rest of the AI Platform Engineering team to translate your work into something that can scale into a production-grade application. You will not co-own productionisation and you will be a critical partner in making it successful. This is a role for someone who is energised by ambiguity, moves fast without cutting corners, and knows how to make a compelling case for (or against) a technical approach based on evidence rather than enthusiasm. Core Responsibilities Business Discovery Run

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