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Machine Learning Engineer

QUANTUM TECHNOLOGIES LLCUnited States🇺🇸United StatesPosted 15 Jul 2026

Quick Overview

Salary
€70/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title : Machine Learning Engineer
Location : Remote
Duration: 8+ Months
Bill Rate: $70/Hr on W2
Job Type: W2 Contract
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

JD:Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/Google Cloud Platform, Docker, Kubernetes

Required Skills :

  • Strong Python expertise with NumPy, Pandas, Scikit-learn.
  • Hands-on experience with TensorFlow and/or PyTorch.
  • Experience building and deploying ML solutions on AWS, Azure, or Google Cloud Platform.
  • Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
  • Strong understanding of ML system design, performance optimization, and monitoring.

Preferred Skills :

  • Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
  • Knowledge of Docker, Kubernetes, Spark, or Ray.
  • Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
  • Prior experience leading ML projects or mentoring teams.

Key Responsibilities :

  • Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
  • Perform data preparation, feature engineering, model training, evaluation, and optimization.
  • Deploy and monitor models in production, including model drift detection and retraining.
  • Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
  • Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
  • Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.

Euqal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

 

 

 

Skills

Docker
AWS
MLOps
MLflow
Machine Learning
NumPy
Scikit-learn
Azure
Deep Learning
Google Cloud
Kubernetes
Pandas
PyTorch
Python
TensorFlow

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