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Artificial Intelligence Expert jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis. This is a full-time, permanent senior position with immediate joining at our New Delhi HQ — the deep-technical authority the practice turns to when the standard toolkit is not enough. Experts here sit above the analyst-developer axis: reviewing model architecture, untangling the failures others escalate, and setting the technical bar for how AI is practiced across the stack. You will apply computer science, engineering and business judgment to systems that must add measurable value — better decisions, lower cost, faster foresight — and defend that value to skeptical client rooms. 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 Expert at CryptoMize? 01 Serve as senior technical authority on the practice’s hardest AI problems — architecture review, failure diagnosis, feasibility judgment 02 Review and sign off on model and system designs before they reach production or client rooms 03 Untangle escalated failures: the model that drifted, the pipeline that lied, the forecast that missed for structural reasons 04 Set technical standards — validation discipline, documentation, review gates — that the analyst and developer benches follow 05 Advise engagement teams on emerging AI issues: what the new techniques genuinely change, and what they do not 06 Interface with client technical leadership as the credible counterpart who can both build and explain 07 Mentor senior analysts and developers toward expert-grade judgment ROLE RESPONSIBILITIES As an Artificial Intelligence Expert you will apply computer science, engineering and business-management judgment to the practice’s AI systems — designing and reviewing solutions that add real value: better decisions, lower operating cost, or faster foresight for client engagements. The standing duty is review and escalation: model architectures examined before they ship, production failures diagnosed to root cause, and feasibility judgments delivered early enough to redirect effort. You will document detailed functional requirements with an eye on usability and auditability, because systems here must survive scrutiny stronger than a demo. Experts also carry the mentoring load for the senior bench — analyst and developer leads who need the next tier of judgment — and represent the practice credibly in front of client technical leadership. Close attention to detail is the entry price; the role itself is exercised at the level of standards. 02 02Capability profile What skills and tools does a Artificial Intelligence Expert need? astro-island,astro-slot,astro-static-slot{display:contents} Craft skills11 Tools & systems4 Offer standards4 Deep ML mastery — architecture selection, training dynamics, failure forensicsProduction system judgment — cost, latency, reliability trade-offs at scaleTechnical review authority — reading a system and finding where it will breakRoot-cause analysis on model and pipeline failuresEmerging-technique literacy (LLMs, multimodal, causal inference) with honest appraisalRequirement documentation with usability and auditability in viewClient-facing credibility — defending technical positions under expert questioningMentorship of senior technical staffCross-domain range: political, reputation, security and governance applicationsAnalytical problem decomposition under ambiguityDiscretion with client systems and data (NDA-grade) Full Python ML stack (PyTorch, scikit-learn)Cloud ML platforms (AWS SageMaker-class)Technical documentation suites (requirements, architecture records)SQL on large engagement corpora 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 expert jobs · artificial intelligence specialist · ai subject matter expert · machine learning expert 03 03Seniority ladder Artificial Intelligence Expert — seniority path at CryptoMize The expert track is narrow by design: advancement comes when the practice’s technical bar visibly rises under your authority. Artificial Intelligence Expert Owns escalated technical problems and design review for active engagements. 1/4 Senior Artificial Intelligence Expert Sets cross-engagement technical standards and fronts the hardest client-facing technical rooms. 2/4 Principal Expert, Artificial Intelligence The practice’s final technical authority on AI — architecture, standards and escalation end-point. 3/4 AI Practice Principal The apex: owns the AI capability as a whole — technical direction, research alignment and delivery accountability. 4/4 04 04The engagement surface CryptoMize work a Artificial Intelligence Expert touches Every role plugs into live engagements across the five Penta-P domains — these are the services your work feeds. Artificial Intelligence Expert · 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 AI Governance Predictive Intelligence Strategic Intelligence Cybersecurity Consultancy Intelligence IT Consultancy WHAT DOES ARTIFICIAL INTELLIGENCE EXPERT COMPENSATION DEPEND ON? Compensation is discussed during screening — never a fixed public figure, because it varies per person and per engagement. It depends on: # 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