Senior ML Engineer - End-to-End Production AI (Remote)

Allied Resources Technical Consultants; New Jersey; Remote; USD 140,000 - 200,000; Full time

Job summary

Allied Resources Technical Consultants client is seeking a Machine Learning Engineer to drive end-to-end ML solutions in production, from problem framing to monitoring. You will work with Product, Engineering, and Data teams to deliver customer-value-driven models.

This remote role involves occasional travel to New Jersey and collaboration across teams to ensure reliable data pipelines, scalable deployments, and measurable business impact.

Qualifications

• 5+ years of experience in ML engineering or data science.
• Proven experience building and deploying ML models into production.
• Hands-on experience with ML frameworks such as Scikit-learn, XGBoost, PyTorch, TensorFlow.
• Strong understanding of supervised learning, forecasting, recommender systems, optimization, statistical modeling.
• Experience with large-scale datasets.
• Experience with Snowflake, Databricks, BigQuery, or Redshift.
• Experience deploying solutions in AWS, Azure, or GCP.
• MLOps concepts including monitoring and automated retraining.

Responsibilities

• Own end-to-end development of ML solutions powering customer-facing products.
• Translate business challenges into ML opportunities, requirements, and metrics.
• Design, build, deploy, and maintain predictive, forecasting, ranking, and optimization models.
• Partner with Product Managers and Software Engineers to integrate ML capabilities into apps.
• Balance model performance, scalability, explainability, and customer value.
• Take models from discovery through deployment and monitoring.
• Develop evaluation frameworks to measure quality and impact.
• Design and execute A/B tests to validate ML-driven product enhancements.
• Build feedback loops and retraining processes to improve performance.
• Collaborate with Data Engineering to ensure reliable data pipelines.

Skills

Supervised learning

Forecasting

Recommendation systems

Optimization

Statistical modeling

Large-scale datasets

MLOps concepts

Communication skills

Stakeholder management

Tools

Scikit-learn

XGBoost

PyTorch

TensorFlow

Snowflake

Databricks

BigQuery

Redshift

AWS

Azure

GCP

Job description

Allied Resources Technical Consultants client is seeking a Machine Learning Engineer to drive end-to-end ML solutions in production, from problem framing to monitoring. You will work with Product, Engineering, and Data teams to deliver customer-value-driven models.

This remote role involves occasional travel to New Jersey and collaboration across teams to ensure reliable data pipelines, scalable deployments, and measurable business impact.