Artificial Intelligence Researcher jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis. This is a full-time, permanent research position with immediate joining at our New Delhi HQ, pushing the methods edge of an applied intelligence practice. The practice’s forecasting and perception work across 18 countries runs on techniques someone had to try first — and researchers here are the ones who try them: designing experiments, running the analysis, and deciding what graduates from paper to platform. You will explore current ways of solving the practice’s recurring problems and build the systems that analysts across engagements then apply at scale. The complete job description — responsibilities, requirements, seniority path and selection process — follows.

LOCATION New Delhi (HQ)

EMPLOYMENT Full-time · Permanent

AVAILABILITY Immediate · Rolling intake

COMPENSATION Discussed at screening

TRACKS ON THIS DESK35

CRAFT SKILLS NAMED11

TOOLS & SYSTEMS4

PATH STAGES4

01

01The actual work

What will you actually do as a Artificial Intelligence Researcher at CryptoMize?

01

Design and run research programs on the practice’s hardest recurring problems — forecasting, coordination detection, multilingual perception

02

Own the experimental method: hypotheses, baselines, ablations and honest negative results

03

Scout emerging techniques (LLMs, causal inference, sequence modeling) and appraise what they genuinely change for our problems

04

Graduate proven methods to the platform teams — with the documentation and handoff that makes adoption real

05

Analyze information at corpus scale: designing the study, executing it, and reporting what the data actually supports

06

Present research outcomes to practice leadership in the language of decisions, not papers

07

Collaborate with analysts as first users — your ideas meet real corpora before they meet production

ROLE RESPONSIBILITIES

As an Artificial Intelligence Researcher you will design, undertake and analyze information — experts across AI disciplines including deep learning, applied mathematics, machine learning and computational statistics,



exploring new ways of solving problems that analysts then apply across engagements.

The craft is disciplined: organizing and prioritizing milestones and deliverables, integrating analytical and critical-thinking skills into effective experimental design, and executing and reporting with rigor. You will scope technical tasks creatively and demonstrate advanced research approaches to complex problems.

Strong verbal and written communication defines the role’s reach — clearly articulating both objectives and outcomes of research, to leadership deciding what graduates and to analysts deciding what to try next. Coding skill is a given for any professional in the AI domain; here it is the instrument, not the product.

02

02Capability profile

What skills and tools does a Artificial Intelligence Researcher need?

Craft skills11

Tools & systems4

Offer standards4

Experimental design — milestones, controls and reporting you can defendDeep learning research craft: architectures, training regimes, evaluationApplied mathematics and computational statisticsCritical thinking and data analysis integrated into effective study designPython research stack (PyTorch, NumPy) and the languages the question demandsLiterature command — knowing what exists before reinventing itCreative solution scoping under open-ended problemsWritten and verbal articulation of objectives and outcomesNegative-result honesty — killing your own idea with clean evidenceCollaboration with analysts and platform engineersDiscretion with methods tied to client advantage (NDA-grade)

Python 3.11 (PyTorch, NumPy, SciPy)Experiment tracking (MLflow/ W&B-class;)GPU compute on cloud (AWS/ Lambda-class)LaTeX/ Markdown research documentation





Depth of demonstrated skill in the specific role disciplineClassification and scope of the client engagement the role supportsUrgency and time-sensitivity of active project requirementsTrack record built across CryptoMize engagements

Also known as: ai researcher jobs · machine learning research · ai research scientist · artificial intelligence research

03

03Seniority ladder

Artificial Intelligence Researcher — seniority path at CryptoMize

The research track advances on what graduates: methods proven in experiments and adopted by the platforms the practice runs on.

- Artificial Intelligence Researcher

Owns scoped research questions with a senior researcher’s guidance, from design through reported outcome.

1/4

- Senior AI Researcher

Leads research programs end-to-end and sets the methodological bar for the track.

2/4

- Research Lead, Artificial Intelligence

Owns the research agenda across the practice — what we study, in what order, and what graduates.

3/4

- Principal Research Scientist

The apex: the practice’s scientific authority — agenda, standards and the bridge to platform reality.

4/4

04

04The engagement surface

CryptoMize work a Artificial Intelligence Researcher touches

Every role plugs into live engagements across the five Penta-P domains — these are the services your work feeds.

Artificial Intelligence Researcher · Job Opening

This seat plugs into 7 live CryptoMize services across the five Penta-P domains — the work below is where yours lands.

7 SERVICESPENTA-P

- Predictive Intelligence
- Predictive Intelligence Forecasting
- Strategic Intelligence
- AI Governance
- Intelligence
- Trend Analysis
- OSINT

WHAT DOES ARTIFICIAL INTELLIGENCE RESEARCHER COMPENSATION DEPEND ON?

Compensation is discussed during screening — never a fixed public figure, because it varies per person and per engagement. It depends on:

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OFFER CONSTRUCTION FACTOR

01

Depth of demonstrated skill in the specific role discipline

02

Classification and scope of the client engagement the role supports

03

Urgency and time-sensitivity of active project requirements

04

Track record built across CryptoMize engagements

📌 Artificial Intelligence Researcher (Dive)
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