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Fuge Technologies Inc IT Services - Lead Machine Learning Operations Engineer (MLOps)

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Fuge Technologies Inc Get AI-powered advice on this job and more exclusive features. Lead Machine Learning Operations Engineer (MLOps)

Chicago, IL ( Remote )

Full Time

11-Nov-2024

Role: Lead Machine Learning Operations Engineer (MLOps)

Location: Chicago, IL ( Remote )

Visa: Any visa is fine

Experience: 10+ years

Required Skills: MLOps, AWS Certified Machine Learning – Specialty, ML frameworks (TensorFlow, PyTorch)

Job Description

We’re looking for a skilled MLOps Engineer to lead and optimize ML workloads, focusing on infrastructure for scalable, reliable ML development and deployment. You'll collaborate with data scientists, 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

Qualifications

Bachelor’s/Master’s in Computer Science or related field

3+ years in MLOps or DevOps

Strong Python/Go Skills, CI/CD Experience, And AWS Proficiency

Knowledge of Docker, Kubernetes, AWS CDK, and CloudFormation

Preferred

Experience with MLflow, Tecton, AWS EMR

share your resume to harsha@fugetec.com for more information reach me at +1 469 530 2279. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Fuge Technologies Inc by 2x Sign in to set job alerts for “Information Technology Services Specialist” roles.

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