Time-Series ML Engineer & MLOps Expert

Talantir; New Jersey; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Talantir is seeking an ML Specialist for a hybrid NJ/NY role, combining theoretical modeling with production deployment. You will develop robust classical ML models for causal inference and apply modern deep learning methods to boost forecasting accuracy.

The position emphasizes building production-grade ML pipelines, ensuring scalability, drift monitoring, and seamless enterprise integration.

Qualifications

• Experience with classical methods (Regression, ARIMA, Prophet) for time-series forecasting.
• Experience applying causal libraries (CausalML, EconML) to determine incrementality.
• Hands-on CI/CD for ML, Docker/Kubernetes, MLflow/Kubeflow to automate training, deployment, and monitoring.

Responsibilities

• Develop production-grade ML models for forecasting and inference.
• Build scalable ML pipelines with MLOps to monitor drift and performance.
• Collaborate with data engineering and product teams to deploy models.

Skills

Advanced Forecasting & AI

Causal Inference & Simulation

MLOps & Engineering

Job description

Talantir is seeking an ML Specialist for a hybrid NJ/NY role, combining theoretical modeling with production deployment. You will develop robust classical ML models for causal inference and apply modern deep learning methods to boost forecasting accuracy.

The position emphasizes building production-grade ML pipelines, ensuring scalability, drift monitoring, and seamless enterprise integration.