Machine Learning Operations Engineer (16601)
The Baer Group

** Federal Project - Applicant must be a United States Citizen with the ability to obtain a Public Trust. "

Baer is looking for a Machine Learning Operations Engineer for a 9-month Federal project located in Baltimore, MD.

Title: Machine Learning Operations Engineer
Location: Hybrid - Baltimore, MD
Duration: 9 months
Rate: All-inclusive
Alignment:W2 or C2C (Vendors Not Permitted)

Description:

• Design, develop, and manage production-level ML pipelines for model training, validation, and deployment.
• Automate the deployment of machine learning models into production environments using MLOps tools (e.g., Kubeflow, MLflow, TFX).
• Ensure smooth integration of models into existing production systems and services.
• Implement model versioning and rollback strategies for seamless deployments and updates.
• Develop and implement monitoring tools and frameworks to track model performance in production environments.
• Monitor for model drift, performance degradation, and anomalies and initiate corrective actions.
• Ensure continuous optimization and fine-tuning of models based on real-time data and feedback.
• Work closely with data scientists to understand and implement the requirements for model deployment.
• Collaborate with software engineering teams to ensure models integrate smoothly into production applications and services.
• Ensure that models meet performance, scalability, and security requirements.
• Build and optimize end-to-end data pipelines for data preprocessing, feature engineering, and model inference.
• Ensure data quality and consistency through robust data validation and transformation pipelines.
• Work with the team to handle large-scale data processing for real-time and batch predictions.
• Write clear, concise, and maintainable documentation for MLOps processes, pipelines, and workflows.
• Define and enforce best practices for model development, deployment, and monitoring.
• Contribute to the development of internal tools and frameworks to streamline machine learning operations.
• Stay up-to-date with the latest developments in MLOps, machine learning frameworks, and deployment technologies.
• Continuously evaluate and integrate new tools, technologies, and methodologies to improve the scalability, efficiency, and reliability of ML systems.

Requirements:.

• 5+ years of professional experience working with machine learning models, data pipelines, and production environments.
• Proven experience in deploying and maintaining machine learning models in production systems.
• Hands-on experience with MLOps tools and frameworks such as Kubeflow, MLflow, TensorFlow Extended (TFX), and/or similar technologies.
• Strong background in statistical methods, data preprocessing, and feature engineering for machine learning.
• Master's degree in Computer Science, Data Science, Engineering, or a related field with 5+ years of experience in machine learning or MLOps, OR
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field with 7+ years of experience in machine learning or MLOps.

Public Trust Security Clearance is the lowest level of additional background screening that the federal government requires for applicants of certain jobs, which includes completing a form.

Company Overview:

Baer is an Enterprise Performance Partner providing job opportunities with several 1st Tier Global Systems Integrators and a wide array of Fortune 1000 clients. Baer consultants and employees enjoy access to the highest profile job opportunities across leading Enterprise Technology Solutions ranging from Digital Transformation programs utilizing the latest technologies from SAP and Oracle to a wide range of emerging Cloud based infrastructure, application and AI related solutions.

At Baer we aim to provide a best-in-class engagement experience for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.

Baer is an equal opportunity employer including disability/veteran.

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