Machine Learning Engineer – Production

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏭 Production Engineer

👻 Ghost score 34%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empowers Staffing Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💼 Consulting

🎯 Recruiter

🤖 Artificial Intelligence

Consulting • Recruitment • Artificial Intelligence

Empowers Staffing Inc is presented in the provided content as (or appears to be represented by) a Minnesota-based IT consulting and staffing/ staff-augmentation provider. The webpage content largely corresponds to LAK Technology — a firm offering IT consulting and digital transformation services for small- to mid-size businesses, including software engineering (QA & testing, mobile apps, UI/UX, project management), data analytics and AI/ML, cloud migration and DevOps, custom solution development, and team extension/staff augmentation. The site lists a St. Paul, MN address and contact details and emphasizes workforce extension, bespoke software solutions, and data & cloud services.

📋 Description

• Design and implement scalable ML systems for real-time and batch inference • Build model deployment pipelines using containerization and CI/CD • Develop APIs and services for serving machine learning models • Implement monitoring and alerting for model performance, drift, and data quality • Collaborate with Data Engineers to ensure reliable feature pipelines • Manage model versioning, reproducibility, and governance • Optimize inference performance and cloud cost efficiency • Support retraining workflows and continuous improvement • Ensure security and compliance standards for data and models

🎯 Requirements

• 4+ years of experience in Machine Learning Engineering or Applied ML • Strong programming skills in Python • Hands-on experience with PyTorch, TensorFlow, or similar frameworks • Experience deploying models into production (API-based, batch, or streaming) • Experience with Docker and containerized environments • Familiarity with Kubernetes for scaling ML services • Experience with MLOps tools (MLflow, model registry, CI/CD integration) • Strong understanding of feature engineering and data preprocessing • Experience working in AWS, Azure, or GCP environments • Knowledge of monitoring, logging, and observability tools

🏖️ Benefits

• Remote Job