DevOps (MLOps) Engineer
Description For DevOps (MLOps) Engineer
ARFA Solutions, LLC is seeking a skilled DevOps (MLOps) Engineer to revolutionize their machine learning operations. This role sits at the intersection of DevOps and Machine Learning, focusing on streamlining the deployment and management of ML models in production environments. The ideal candidate will bridge the gap between data science and operations, working closely with cross-functional teams to implement robust MLOps practices.
The position offers an opportunity to work with cutting-edge ML technologies and frameworks while building scalable, automated pipelines for model deployment. You'll be responsible for implementing best practices in CI/CD specifically tailored for machine learning workflows, ensuring both efficiency and reliability in production environments.
As an MLOps Engineer, you'll play a crucial role in automating model training, testing, and deployment processes, while also maintaining high standards for security and compliance. The role requires expertise in cloud platforms, containerization, and modern DevOps tools, making it perfect for someone who enjoys working with diverse technologies and solving complex technical challenges.
Working remotely, you'll have the flexibility to maintain work-life balance while contributing to innovative ML projects. The position offers competitive compensation through a 1099 or C2C arrangement, ideal for experienced professionals seeking autonomy and impact in their work. Join ARFA Solutions to help shape the future of machine learning operations and drive technological advancement in AI deployment practices.
Responsibilities For DevOps (MLOps) Engineer
- Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models
- Collaborate with data scientists to understand model requirements and operationalize models into production environments
- Automate model training, testing, and deployment processes through CI/CD principles
- Monitor and evaluate model performance in production and implement solutions for improvement
- Implement data versioning, model versioning, and tracking systems to ensure reproducibility
- Ensure security and compliance in the deployment of machine learning models
- Document processes and improve collaboration between teams for efficient workflows
- Stay up-to-date with industry trends and technologies in MLOps and machine learning
Requirements For DevOps (MLOps) Engineer
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field
- 5+ years of experience in DevOps or MLOps roles
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Proficiency in programming languages such as Python, R, or Java
- Strong understanding of cloud platforms (AWS, Azure, or GCP) and their machine learning services
- Experience with containerization technologies, particularly Docker, and orchestration tools like Kubernetes
- Knowledge of CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps
- Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow
- Strong problem-solving and analytical skills
- Excellent communication and teamwork abilities
Benefits For DevOps (MLOps) Engineer
- Remote work environment
- 1099 or C2C
Jobs Related To ARFA Solutions, LLC DevOps (MLOps) Engineer
