# Artificial Intelligence Analyst Job Opening at CryptoMize Artificial Intelligence Analyst jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis. This is a full-time, permanent position with immediate joining at our New Delhi HQ, applying machine learning to the practice’s live intelligence problems. The corpora here are unlike textbook data: multilingual sentiment streams, electoral histories across 18 countries, media-mention floods and coordinated-behavior traces. Analysts build and run the models that turn those into foresight — feeding a forecasting record the practice stakes its name on. You will own models end-to-end: framing the question, engineering the features, validating honestly, and explaining results to strategists who will act on them. 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 run learning models on engagement corpora — sentiment trajectories, movement prediction, anomaly and coordination detection - Frame engagement questions as learnable problems: what to predict, from what signal, validated against what ground truth - Engineer features from messy multilingual media, social and survey data — the difference between a demo and a decision tool - Validate honestly: backtesting, leakage control, and communicating uncertainty instead of hiding it - Support the practice’s electoral forecasting work — models whose historical accuracy across countries is the product’s signature - Write the model documentation strategists actually read: what it predicts, what it cannot, and how confident to be - Partner with platform teams to move validated models into production pipelines ## Skills - Machine learning fundamentals — regression, classification, ensembles, and when simple beats clever - Deep learning literacy — sequence and transformer architectures applied to text and time-series - NLP on noisy multilingual corpora (tokenization, embeddings, transfer learning) - Feature engineering from media, social and behavioral data - Rigorous validation — backtesting design, leakage control, honest baselines - Python for ML: pandas, scikit-learn, PyTorch/TensorFlow - SQL on multi-gigabyte engagement datasets - Uncertainty communication — confidence, error and limitation explained to non-specialists - Experiment discipline: hypotheses logged, results reproducible - Discretion with client datasets (NDA-grade) - Domain curiosity across political, reputation and security questions ## Tools - Python 3.11 (pandas, scikit-learn, PyTorch) - Jupyter-based analysis repos with Git review discipline - PostgreSQL for feature and training data - Experiment tracking (MLflow-class) ## Questions and answers ### What does an Artificial Intelligence Analyst actually do at CryptoMize day to day? You own models end-to-end on live corpora: framing the engagement question as a learnable problem, engineering features from multilingual media and behavioral data, validating honestly against ground truth, and documenting what the model can and cannot claim. Fridays you defend numbers in review — strategists act on what you sign. ### What are the requirements for Artificial Intelligence Analyst jobs at CryptoMize? Demonstrated applied ML — at least one production or engagement-grade model you can defend end-to-end, with Python, NLP and validation rigor. Degrees are secondary to a model you can walk through line by line. ### Are the Artificial Intelligence Analyst 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 Analyst 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 Analyst at CryptoMize? The path runs AI Analyst → Senior AI Analyst → AI Analytics Lead → AI Practice Principal, advancing on validated model quality and the decisions your work enables. ### What is the salary for an Artificial Intelligence Analyst 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 modeling exercise on a realistic engagement dataset, defended live, and a panel interview with the AI Analytics Lead plus a senior strategist. 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/