-
View all jobs
Role : ML Specialist Location: NJ/NY (Hybrid)
Role Description A dual-threat technical role responsible for both the theoretical modeling and the engineering required to deploy it. This individual must be capable of building robust classical ML models for causal inference while applying modern Deep Learning methods to enhance forecasting accuracy. Crucially, they must possess strong MLOps capabilities to build production-grade pipelines, ensuring models are scalable, monitored for drift, and integrated seamlessly into the enterprise platform.Key Skills & Competencies (relevant skills, not expecting the same person to possess all of it, we need 2 profiles and so we can build a mix i.e., 1x Classical ML specialist + 1x Modern MLOps Engineer,)
Role Description A dual-threat technical role responsible for both the theoretical modeling and the engineering required to deploy it. This individual must be capable of building robust classical ML models for causal inference while applying modern Deep Learning methods to enhance forecasting accuracy. Crucially, they must possess strong MLOps capabilities to build production-grade pipelines, ensuring models are scalable, monitored for drift, and integrated seamlessly into the enterprise platform.Key Skills & Competencies (relevant skills, not expecting the same person to possess all of it, we need 2 profiles and so we can build a mix i.e., 1x Classical ML specialist + 1x Modern MLOps Engineer,)
- Advanced Forecasting & AI: Mastery of classical methods (Regression, ARIMA, Prophet) combined with modern Deep Learning architectures for time-series forecasting (LSTMs, Temporal Fusion Transformers, N-BEATS)
- Causal Inference & Simulation: Experience applying causal libraries (CausalML, EconML) to determine incrementality and simulate business outcomes under uncertainty
- MLOps & Engineering: Strong hands-on experience with the modern ML stack (CI/CD for ML, Docker/Kubernetes, MLflow/Kubeflow) to automate training, deployment, and monitoring pipelines
- External Job Titles to Search: Senior Machine Learning Engineer (FinTech/Risk), Full-Stack Data Scientist, Applied Scientist (Forecasting & Optimization), AI Engineer (Time-Series focus)
Key Skills
Ranked by relevance
deep learning
mlops
ai
machine learning
simulation
cicd
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Corporate Management Trainee
2026-05-19
Full-time
Not Applicable
Singapore
IT Services
Other
View Job Details
Related
Sr Director Analyst - Innovation and Emerging Technologies (Remote: Europe)
2026-05-28
Full-time
Not Applicable
Finland
IT Services
Other
View Job Details
Related
Senior Python Developer - Code Migration Specialist
2026-05-28
Part-time
Not Applicable
Finland
IT Services
Other
Login to Apply
- Posted
- Feb 27, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- New York
- Company
- The Value Maximizer
Industries
IT Services
IT Consulting
Categories
Other
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Corporate Management Trainee
2026-05-19
Full-time
Not Applicable
Singapore
IT Services
Other
View Job Details
Related
Sr Director Analyst - Innovation and Emerging Technologies (Remote: Europe)
2026-05-28
Full-time
Not Applicable
Finland
IT Services
Other
View Job Details
Related
Senior Python Developer - Code Migration Specialist
2026-05-28
Part-time
Not Applicable
Finland
IT Services
Other