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Machine Learning Engineer

United States
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Design, develop, deploy, and maintain enterprise-scale ML models and end-to-end ML pipelines. Perform data preparation, feature engineering, model training, evaluation, and optimization. Deploy and monitor ML models in production, including model drift detection and automated retraining.

Key Highlights
Enterprise-scale Machine Learning solutions design and deployment
MLOps with AWS/Azure/GCP and CI/CD automation
Production AI systems with model drift detection and automated retraining
Key Responsibilities
Design, develop, deploy, and maintain enterprise-scale ML models and end-to-end ML pipelines
Perform data preparation, feature engineering, model training, evaluation, and optimization
Deploy and monitor ML models in production, including model drift detection and automated retraining
Build scalable ML systems using AWS, Azure, or GCP
Drive MLOps initiatives, CI/CD automation, governance, and model lifecycle management
Collaborate with Data Engineering, DevOps, and business stakeholders
Mentor engineers and provide technical leadership on AI/ML initiatives
Evaluate and adopt emerging AI/ML technologies and best practices
Technical Skills Required
Python TensorFlow/PyTorch MLOps
Benefits & Perks
Visa sponsorship available
Nice to Have
MLflow
Amazon SageMaker
Azure Machine Learning
Docker
Kubernetes
Apache Spark
Ray
Large Language Models (LLMs)
Deep Learning
Transformers
Vector Databases
ML Governance

Job Description

THIS IS A W2 ROLE , AN VISA IS FINE

Job Title: Machine Learning Engineer

Location: Cincinnati, OH (Onsite)

Duration: Long Term

Job Summary

We are seeking a Machine Learning Engineer with years of experience in designing, building, and deploying enterprise-scale Machine Learning solutions. The ideal candidate will have deep expertise in Python, TensorFlow/PyTorch, MLOps, Cloud Platforms (AWS/Azure/GCP), Docker, and Kubernetes, along with experience in architecting scalable ML pipelines and production AI systems.

Top 3 Required Skills

  • Python & Machine Learning
  • TensorFlow / PyTorch
  • MLOps with AWS/Azure/GCP

Required Skills

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