Senior ML Infra Engineer - Remote, Build ML Pipelines

Optasia Group; Kentucky; Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Flexible remote working

Competitive remuneration package

Extra day off on your birthday

Performance-based bonus scheme

Comprehensive private healthcare insurance

All necessary tech gear for work

Job summary

A progressive financial technology firm is seeking a Senior ML Infrastructure Engineer in Kentucky. The role involves building scalable ML pipelines, operationalizing solutions for credit risk management, and working on large-scale data analytics. Ideal candidates have 5+ years in ML engineering, a solid grasp of Python and PySpark, and are familiar with CI/CD practices. Flexible remote work and a competitive salary are part of the offer.

Qualifications

• 5+ years of industry experience with Machine Learning Engineering and MLOps background.
• Solid understanding of core Machine Learning concepts and MLOps.
• Ability to meet tight deadlines and work under pressure.

Responsibilities

• Build robust ML pipelines and operationalize solutions for credit risk management.
• Design and develop statistical and machine learning algorithms.
• Maintain large-scale Spark jobs using PySpark and Scala.

Skills

Machine Learning Engineering

MLOps

Python

PySpark

Scala

SQL

Hadoop ecosystem

API development

Docker

Airflow

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Science or Informatics

Tools

Linux

Jenkins

Job description

A progressive financial technology firm is seeking a Senior ML Infrastructure Engineer in Kentucky. The role involves building scalable ML pipelines, operationalizing solutions for credit risk management, and working on large-scale data analytics. Ideal candidates have 5+ years in ML engineering, a solid grasp of Python and PySpark, and are familiar with CI/CD practices. Flexible remote work and a competitive salary are part of the offer.