Machine Learning Engineer — Production‑Grade AI Systems

Soris; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation package including salary and equity

Employer-covered health insurance

Job summary

A leading technology company in the United States is seeking a Machine Learning Engineer to build and scale AI systems. You will work closely with the CTO and engineers, shaping the platform and driving impactful projects. The ideal candidate has over 4 years of experience in machine learning, strong programming skills, and a passion for transforming industries. Competitive compensation and a collaborative environment await you.

Qualifications

• 4+ years of experience in machine learning or data engineering.
• Strong skills in Python or R and frameworks like PyTorch or TensorFlow.
• Experience with serving models for inference (FastAPI).
• Experience with AWS (EKS, S3, SageMaker, Lambda, CloudWatch).
• Familiar with CI/CD, containerization, and monitoring tools.

Responsibilities

• Build and deploy highly accurate machine learning models into production.
• Collaborate with system and backend engineers to build data pipelines.
• Develop tools for model tracking, versioning, and monitoring.
• Optimize models and systems for speed, cost, and reliability.

Skills

Machine Learning

Python

R

PyTorch

TensorFlow

AWS

CI/CD

Containerization

Tools

FastAPI

Airflow

Kafka

Snowflake

Job description

A leading technology company in the United States is seeking a Machine Learning Engineer to build and scale AI systems. You will work closely with the CTO and engineers, shaping the platform and driving impactful projects. The ideal candidate has over 4 years of experience in machine learning, strong programming skills, and a passion for transforming industries. Competitive compensation and a collaborative environment await you.