[Remote] IT Services - Lead Machine Learning Operations Engineer (MLOps)

Note: The job is a remote job and is open to candidates in USA. Fuge Technologies Inc is looking for a skilled MLOps Engineer to lead and optimize ML workloads. The role focuses on infrastructure for scalable, reliable ML development and deployment, collaborating with data scientists to automate workflows and ensure high model performance.

Responsibilities

• Architect and deploy scalable ML solutions in AWS
• Design CI/CD pipelines for ML workflows
• Collaborate on model serving, versioning, and monitoring
• Automate tasks to improve workflow efficiency
• Stay updated on MLOps tools and practices

Skills

• 10+ years of experience
• MLOps
• AWS Certified Machine Learning – Specialty
• ML frameworks (TensorFlow, PyTorch)
• Bachelor's/Master's in Computer Science or related field
• 3+ years in MLOps or DevOps
• Strong Python/Go Skills
• CI/CD Experience
• AWS Proficiency
• Knowledge of Docker
• Knowledge of Kubernetes
• Knowledge of AWS CDK
• Knowledge of CloudFormation
• Experience with MLflow
• Experience with Tecton
• Experience with AWS EMR

Company Overview

Fuge Technologies’ Application Professionals are involved in supporting all stages of the IT application’s life-cycle including analysis, design, development, quality assurance testing, implementation and maintenance. It was founded in undefined, and is headquartered in IRVING, TX, US, with a workforce of 51-200 employees. Its website is https://www.fugetec.com.

Company H1B Sponsorship

Fuge Technologies Inc has a track record of offering H1B sponsorships, with 11 in 2026, 33 in 2025, 12 in 2024, 7 in 2023, 10 in 2022, 10 in 2021. Please note that this does not guarantee sponsorship for this specific role.