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.