Remote Senior ML Engineer Build and Deploy Scalable Models

emagine Polska; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

100% remote

Job summary

emagine Polska is seeking a Senior ML Engineer to translate business goals into scalable ML solutions. You will own the ML lifecycle from framing and prototyping to deployment and monitoring, and collaborate with data scientists and engineers across an international team for a Danish global brand.

You will build production data pipelines, connect to PLM, ERP like AX/SAP and o9, drive MLOps practices including CI/CD and automated retraining, and define KPIs to continuously improve accuracy,

Qualifications

• 5+ years in Machine Learning Engineering, Data Science or Applied ML.
• Proven experience deploying ML models at scale in production.
• Advanced Python and ML frameworks.
• Experience with Databricks, Snowflake, Spark or Hadoop.
• Strong SQL skills; cloud experience (Azure) and container tech.

Responsibilities

• Own the ML lifecycle from problem framing and prototyping to deployment and monitoring.
• Design and improve data pipelines that are reliable and reproducible.
• Connect ML systems with enterprise data sources such as PLM, ERP (AX / SAP) and o9.
• Drive MLOps best practices: CI/CD for ML, monitoring, automated retraining.
• Work with data scientists, engineers and business stakeholders to turn goals into ML solutions.
• Define KPIs and keep improving accuracy, efficiency and scalability.

Skills

ML Engineering

Data Science

Applied ML

Python

ML frameworks

Databricks

SQL

Azure Cloud

Docker

Kubernetes

CI/CD

Git

JIRA

Confluence

Tools

Databricks

Snowflake

Spark

Hadoop

Azure

Docker

Kubernetes

Git

CI/CD

JIRA

Confluence

Job description

emagine Polska is seeking a Senior ML Engineer to translate business goals into scalable ML solutions. You will own the ML lifecycle from framing and prototyping to deployment and monitoring, and collaborate with data scientists and engineers across an international team for a Danish global brand.

You will build production data pipelines, connect to PLM, ERP like AX/SAP and o9, drive MLOps practices including CI/CD and automated retraining, and define KPIs to continuously improve accuracy,