Offer summary

Qualifications:

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..

Key responsabilities:

Design, implement, and manage MLOps pipelines for deploying and monitoring machine learning models.

Collaborate with data scientists to 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.

Job description

ARFA Solutions, LLC is looking for a skilled DevOps (MLOps) Engineer to help streamline and enhance our machine learning operations. As an MLOps Engineer, you will be responsible for deploying machine learning models into production, automating the workflow, and implementing best practices for continuous integration and continuous delivery (CI/CD) in MLOps. You will work closely with data scientists, developers, and IT operations teams to ensure smooth and efficient operations.

Responsibilities:

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

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