MLOPS Engineer

Saksoft; Portland (OR); On-site; USD 120,000 - 170,000; Full time

Job summary

Saksoft is seeking an experienced MLOps Engineer in Portland, OR to drive end-to-end machine learning delivery and GenAI initiatives. The role emphasizes Python data science, AWS cloud infrastructure, and production-grade ML pipelines across classification, regression, and forecasting use cases.

The candidate should have a strong track record of delivering multiple GenAI projects and at least 7 years of Python/data science experience, with 3 years in AWS.

Qualifications

• 7+ years of hands-on Python and data science experience.
• 3+ years of production AWS experience.
• Proven delivery of ML use cases across classification, regression, or forecasting.
• Delivery of at least 2 Generative AI use cases (multimodal or GenAI fine-tuning preferred).

Skills

Python

Data Science

AWS

MLOps

Generative AI

Model Deployment

Job description

JdThis data science role requires a minimum of 7 years of Python and data science experience, 3 years of AWS experience, and hands-on delivery of machine learning and Generative AI use cases.

MLOPS ENGINEER

JdThis data science role requires a minimum of 7 years of Python and data science experience, 3 years of AWS experience, and hands-on delivery of machine learning and Generative AI use cases.

Core Technical Requirements

• Data Science: Minimum 7 years of hands-on coding and model development in Python.
• Cloud Infrastructure: Minimum 3 years of production experience working within the AWS ecosystem.
• Machine Learning: Proven background in machine learning with at least 5 distinct, well-documented use cases covering a mix of classification, regression, or forecasting models.
• Generative AI: Demonstrated delivery of at least 2 Generative AI use cases (Preferred candidates with: keywords such as multimodal applications, image-plus-text processing, or advanced model fine-tuning in GenAI use cases)