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TRACK DOSSIER · JOB OPENINGREF: CM/JOB/ARTIFICIAL-I

Artificial Intelligence Developer Job — Always Hiring

Artificial Intelligence Developer Job in Delhi at CryptoMize

Artificial Intelligence Developer jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis. This is a full-time, permanent engineering position with immediate joining at our New Delhi HQ, building the machine-learning systems the practice’s platforms run on. Analysts here model; researchers here explore; developers here make it real — services, pipelines and inference infrastructure that survive production traffic across the nine-platform stack. You will build high-performance ML applications and the data infrastructure beneath them, from feature stores to serving layers, with the uptime that client engagements demand. The complete job description — responsibilities, requirements, seniority path and selection process — follows.

LOCATIONNew Delhi (HQ)
EMPLOYMENTFull-time · Permanent
AVAILABILITYImmediate · Rolling intake
COMPENSATIONDiscussed at screening
TRACKS ON THIS DESK26
CRAFT SKILLS NAMED11
TOOLS & SYSTEMS5
PATH STAGES4

01The actual work

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

Build and operate production ML services — training pipelines, inference APIs and monitoring — on the practice’s platform stack

Engineer the data infrastructure: ingestion from platform corpora, feature stores, versioned training sets

Take validated models from notebook to service: containerized, tested, observable, and honest about drift

Optimize for the real constraints — latency, GPU cost, throughput on streaming media and sentiment workloads

Build simulation and what-if tooling that lets strategists interrogate model behavior before it ships

Keep the ML platform operable: reproducible environments, model registries, rollback paths

Collaborate with analysts on model handoff and with platform teams on integration contracts

ROLE RESPONSIBILITIES

As an Artificial Intelligence Developer you will build high-performance machine-learning applications and the supporting infrastructure — platforms, pipelines and simulation solutions — that the practice’s intelligence products run on. The measure is production: services that survive traffic, models that ship, and systems colleagues can operate without paging you.

You will develop across Linux and cloud environments, work with GPU-class hardware where the workloads demand it, and apply distributed-computing tools as datasets outgrow single machines. Data management is part of the craft: mining and analysis methods, model building, algorithms and simulations maintained as living, versioned assets.

Collaboration runs both ways — receiving validated models from analysts with clean handoff contracts, and integrating with platform teams on interfaces that hold. Client data flowing through your systems is confidential without exception.

02Capability profile

What skills and tools does a Artificial Intelligence Developer need?

Production Python — typed, tested, reviewable servicesML engineering: training pipelines, batch and streaming inference, model versioningPyTorch/TensorFlow serving — optimization and quantization for real constraintsData engineering — ingestion, feature stores, dataset versioningContainerization and orchestration (Docker, Kubernetes basics)Linux development discipline and cloud environments (AWS-class)GPU hardware literacy — profiling and cost-aware workload placementAPI design (REST) and NoSQL/RDBMS schema judgmentObservability — logging, metrics and drift monitoring for live modelsCode review and Git-based team workflowDiscretion with client data flowing through systems you build (NDA-grade)
Python 3.11 (PyTorch, FastAPI)Docker + KubernetesPostgreSQL and Redis-class storesAWS or equivalent cloud (EC2/SageMaker-class)MLflow-class registry and tracking
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 developer jobs · machine learning engineer · artificial intelligence engineer · ml developer

03Seniority ladder

Artificial Intelligence Developer — seniority path at CryptoMize

Engineering careers advance on what stays up: systems that survive production, models that ship, and infrastructure colleagues trust.

  1. Artificial Intelligence Developer

    Owns services and pipelines for one to two platform workstreams with senior review.

    1/4

  2. Senior Artificial Intelligence Developer

    Designs ML system architecture, leads production standards, and mentors junior engineers.

    2/4

  3. AI Engineering Lead

    Runs the engineering side of the platform — architecture, reliability and the developer bench.

    3/4

  4. AI Practice Principal

    The apex: owns the practice’s AI capability end-to-end — research direction, production systems and delivery.

    4/4

04The engagement surface

CryptoMize work a Artificial Intelligence Developer touches

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

Artificial Intelligence Developer · 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

WHAT DOES ARTIFICIAL INTELLIGENCE DEVELOPER 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
01Depth of demonstrated skill in the specific role discipline
02Classification and scope of the client engagement the role supports
03Urgency and time-sensitivity of active project requirements
04Track record built across CryptoMize engagements

05Answers, searchable

Artificial Intelligence Developer Job — frequently asked questions

AEngineering days are pipeline-and-service work: ingestion from platform corpora, training pipelines and inference APIs containerized and observable, model handoffs from analysts turned into production contracts.

You profile GPU cost against latency, keep the registry clean, and own the uptime of systems client engagements depend on.

AProduction ML engineering evidence — services you have shipped and can be quizzed on: design choices, failure modes, cost profile — plus strong Python and cloud fundamentals.

A public code trail outweighs degrees.

AYes — the position is based full-time at our New Delhi HQ in Vasant Vihar, working directly alongside the strategists, analysts and platform teams your work feeds.

Delhi is the operational center of a practice spanning 18 countries, and every discipline works from here.

AYes.

Openings are rolling and always active — CryptoMize staffs capacity ahead of engagements rather than after they land, so strong candidates are onboarded as soon as notice periods allow. There is no seasonal window: the practice hires when the work demands it, which is continuously.

AThe ladder runs AI Developer → Senior AI Developer → AI Engineering Lead → AI Practice Principal — advancement on systems that stay up and engineers who grow beneath you.
ACompensation is discussed at screening and depends on demonstrated skill, engagement classification, urgency, and track record.

We do not publish figures — each offer is built individually, and worth is evaluated after meeting you, not before. The practice competes seriously for people it wants, and the conversation starts early.

AApplication, a take-home build exercise — a small inference service with tests — defended live, and a panel interview with the AI Engineering Lead plus a senior platform engineer.

Every stage is practical — we evaluate the work, not the resume. Typical cycle: two to three weeks, because openings are rolling and capacity is staffed ahead of demand.

ROLLING INTAKE — ALWAYS HIRING

Apply now for the Artificial Intelligence Developer Job at CryptoMize

New Delhi HQ · Immediate joining · Certification provided for internships

Apply Now
Page source — machine-readable summary

Facts: Location: New Delhi (HQ) · Employment: full-time permanent · Availability: immediate, rolling intake · Compensation: discussed at screening.

Q: What does an Artificial Intelligence Developer actually do at CryptoMize day to day?
A: Engineering days are pipeline-and-service work: ingestion from platform corpora, training pipelines and inference APIs containerized and observable, model handoffs from analysts turned into production contracts. You profile GPU cost against latency, keep the registry clean, and own the uptime of systems client engagements depend on.

Q: What are the requirements for Artificial Intelligence Developer jobs at CryptoMize?
A: Production ML engineering evidence — services you have shipped and can be quizzed on: design choices, failure modes, cost profile — plus strong Python and cloud fundamentals. A public code trail outweighs degrees.

Q: Are the Artificial Intelligence Developer job openings in Delhi?
A: Yes — the position is based full-time at our New Delhi HQ in Vasant Vihar, working directly alongside the strategists, analysts and platform teams your work feeds. Delhi is the operational center of a practice spanning 18 countries, and every discipline works from here.

Q: Is this Artificial Intelligence Developer vacancy immediate joining?
A: Yes. Openings are rolling and always active — CryptoMize staffs capacity ahead of engagements rather than after they land, so strong candidates are onboarded as soon as notice periods allow. There is no seasonal window: the practice hires when the work demands it, which is continuously.

Q: What is the career growth for an Artificial Intelligence Developer at CryptoMize?
A: The ladder runs AI Developer → Senior AI Developer → AI Engineering Lead → AI Practice Principal — advancement on systems that stay up and engineers who grow beneath you.

Q: What is the salary for an Artificial Intelligence Developer at CryptoMize?
A: Compensation is discussed at screening and depends on demonstrated skill, engagement classification, urgency, and track record. We do not publish figures — each offer is built individually, and worth is evaluated after meeting you, not before. The practice competes seriously for people it wants, and the conversation starts early.

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