Merciv
Senior ML/AI Engineer, Agentic Intelligence
New York City · Senior
H1B sponsorship availableDetected 151 days ago
PythonDistributed SystemsMachine LearningTensorFlowPyTorchscikit-learnNLPLLMsRAGAgentic AIMLOpsAI OrchestrationStatisticsForecastingSupply ChainLogisticsResearchDemand Planning
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16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Our platform doesn't just surface insights - it reasons, forecasts, and acts autonomously across complex enterprise data landscapes.
- This is applied AI at its most impactful.
Responsibilities
- Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale
- Develop and iterate on Merciv's agentic AI architecture - building systems that reason across heterogeneous data sources and take autonomous action
- Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment
- Collaborate with backend engineers to ensure models are production-grade - optimized for latency, reliability, and scale
- Own model performance end-to-end: monitoring, retraining, and continuous improvement in production
- You care about model interpretability and building systems enterprise users can actually trust
Requirements
- You have 5+ years of applied ML/AI experience with models deployed in production
- Experience with graph neural networks or knowledge graphs
- You have a strong background in statistical analysis, predictive modeling, and time series forecasting
Compensation
- Competitive salary, meaningful equity, health/dental/vision, 401k, home office stipend, flexible PTO
Benefits
- You have an M.S. or Ph.D. in CS, Machine Learning, Statistics, or equivalent practical experience
Visa & Work Authorization
- Visa sponsorship available
This listing is sourced directly from Merciv's careers page and normalized into a canonical job model.