Machine Learning Engineer (MLE)
Contract Corp To Corp
Contract W2
Contract Independent
Travel Required
Able to Sponsor
Remote
$70 - $72/hr
Argyll Infotech Inc
Fitment
Dice Job Match Score™
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Job Details
Skills
- Amazon SageMaker
- Amazon Web Services
- Analytics
- Cloud Computing
- Continuous Delivery
- Continuous Integration
- Data Engineering
- Data Modeling
- Data Science
- DS
- DirectShow
- Extract
- Transform
- Load
- FOCUS
- IaaS
- Infrastructure Architecture
- Life Sciences
- Machine Learning (ML)
- Machine Learning Operations (ML Ops)
- Operational Efficiency
- Research
- Scalability
- Training
- Workflow
Summary
Title Machine Learning Engineer (MLE)
Location Hybrid or Remote
Contract
About the Role
We are seeking a production-focused Machine Learning Engineer (MLE). Unlike a traditional Data Science role, this position prioritizes the engineering, deployment, and scalability of machine learning systems. You will be responsible for moving models from research to production, ensuring they are robust, integrated into our cloud infrastructure, and compliant with industry standards.
Key Responsibilities
- MLOps on AWS: Lead the end-to-end MLOps lifecycle within the AWS ecosystem, with a focus on CI/CD for machine learning and automated model monitoring.
- Infrastructure & Data Modeling: Design and implement scalable infrastructure architecture, including complex data models specifically structured for ML workloads.
- ML Pipelines: Build and maintain automated pipelines to handle data ingestion, preprocessing, training, and deployment at scale.
- Feature Engineering: Develop and optimize sophisticated feature engineering workflows to enhance model accuracy and operational efficiency.
- Regulatory & Data Engineering: Bridge the gap between data engineering and model deployment while adhering to strict regulatory requirements inherent to the life sciences industry.
Technical Qualifications
Category | Requirements |
Experience | Proven track record as an MLE with experience productionizing models (rather than just DS/Analytics). |
Cloud Platform | Expert knowledge of AWS (SageMaker, Lambda, Glue) for ML applications. |
Data Engineering | Strong background in data engineering, ETL design, and data modeling. |
Domain Knowledge | Experience in the Healthcare or Life Sciences sector. |
Compliance | Understanding of regulatory experience and working within regulated data environments. |
Education & Experience
- Bachelor's degree in Business Administration, Information Technology, or a related field.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91139928
- Position Id: 8958403
- Posted 5 hours ago
Company Info
About Argyll Infotech Inc
We are well-versed in a variety of operating systems, networks, and databases. We work with just about any technology that a small business would encounter. We use this expertise to help customers with small to mid-sized projects.
The world of technology can be fast-paced and scary. That's why our goal is to provide an experience that is tailored to your company's needs. No matter the budget, we pride ourselves on providing professional customer service. We guarantee you will be satisfied with our work.
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