Senior ML/AI Engineer

Getclera; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Merciv in New York, NY, is seeking a skilled ML Engineer to design, build, and deploy models for demand forecasting and autonomous decision-making across complex enterprise datasets.

You will develop robust ML pipelines, architect RAG and LLM integrations, and collaborate with backend teams to ensure production-grade systems with low latency and high reliability.

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
• Architect RAG systems and LLM integrations that power Merciv's natural language interfaces and autonomous workflows
• 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
• Stay at the frontier of AI research and bring relevant innovations into the platform

Job description

The Role

You'll build and deploy the intelligent systems at the core of Merciv. Our platform doesn't just surface insights - it reasons, forecasts, and acts autonomously across complex enterprise data landscapes. You'll develop the models and agentic architectures that power demand forecasting, consumer intelligence, competitive analysis, and autonomous decision-making for the world's largest retailers.

This is applied AI at its most impactful. You'll work at the intersection of cutting-edge research and real enterprise deployment, building systems that generate tens of millions in value for clients.

What You'll Do

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

Architect RAG systems and LLM integrations that power Merciv's natural language interfaces and autonomous workflows

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

Stay at the frontier of AI research and bring relevant innovations into the platform