Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

MLOps Engineer

Job

Wisestep-Inc

Hartford, CT (In Person)

Full-Time

Posted 6 days ago (Updated 1 day ago) • Actively hiring

Expires 7/4/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
99
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

MLOps Engineer Job Poster :
Wisestep-Inc Skills:
CI/CD Pipelines, Shell, Docker, PySpark, Container Orchestration, Snowflake, ML Model Deployment, Bash, Digital :
Python, Python, SQL |
Location:
Hartford , Connecticut ,
United States Of America Views:
11 MLOps Engineer Must Have Technical/Functional Skills 1. Work Experience in SageMaker Knowledge in setting up CI/CD aws code pipeline for Machine Learning Models (Preferably in Cloud) 2. Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance 3. Design, build and scale reliable data pipelines using AWS (Python, PySpark and Snowflake) 4. Bash/Shell Scripting and SQL and ML Libraries Pandas, NumPy, PyTorch, Scikit-learn 5. Data and Model quality monitoring 6. S3, IAM, Lambda, step functions, Code build, ECR, ECS/Fargate Roles & Responsibilities ML Pipeline Development & Automation Model Deployment & Serving Development and maintenance Monitoring & Performance Management Security & Compliance Continuous improvements