# Artificial Intelligence Developer Job Opening 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 ten-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. ## Facts - Location: New Delhi (HQ), CDR Building, Chhatarpur - Type: full-time permanent - Availability: immediate, rolling intake (always hiring) - Compensation: discussed at screening ## What you will actually do - 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 ## Skills - Production Python — typed, tested, reviewable services - ML engineering: training pipelines, batch and streaming inference, model versioning - PyTorch/TensorFlow serving — optimization and quantization for real constraints - Data engineering — ingestion, feature stores, dataset versioning - Containerization and orchestration (Docker, Kubernetes basics) - Linux development discipline and cloud environments (AWS-class) - GPU hardware literacy — profiling and cost-aware workload placement - API design (REST) and NoSQL/RDBMS schema judgment - Observability — logging, metrics and drift monitoring for live models - Code review and Git-based team workflow - Discretion with client data flowing through systems you build (NDA-grade) ## Tools - Python 3.11 (PyTorch, FastAPI) - Docker + Kubernetes - PostgreSQL and Redis-class stores - AWS or equivalent cloud (EC2/SageMaker-class) - MLflow-class registry and tracking ## Questions and answers ### What does an Artificial Intelligence Developer actually do at CryptoMize day to day? 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. ### What are the requirements for Artificial Intelligence Developer jobs at CryptoMize? 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. ### Are the Artificial Intelligence Developer job openings in Delhi? 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. ### Is this Artificial Intelligence Developer vacancy immediate joining? 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. ### What is the career growth for an Artificial Intelligence Developer at CryptoMize? 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. ### What is the salary for an Artificial Intelligence Developer at CryptoMize? 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. ### How does the selection process work? Application, 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. Apply: https://cryptomize.com/careers/job-openings/apply/