Remote DevOps (MLOps) Engineer

Description:

• ARFA Solutions, LLC is seeking a skilled DevOps (MLOps) Engineer to enhance machine learning operations.
• The MLOps Engineer will be responsible for deploying machine learning models into production and automating workflows.
• The role involves implementing best practices for continuous integration and continuous delivery (CI/CD) in MLOps.
• Collaboration with data scientists, developers, and IT operations teams is essential for ensuring smooth operations.
• Responsibilities include designing, implementing, and managing MLOps pipelines for deploying and monitoring machine learning models.
• The engineer will collaborate with data scientists to understand model requirements and operationalize models into production environments.
• Automating model training, testing, and deployment processes through CI/CD principles is a key task.
• Monitoring and evaluating model performance in production and implementing solutions for improvement is required.
• The role includes implementing data versioning, model versioning, and tracking systems to ensure reproducibility.
• Ensuring security and compliance in the deployment of machine learning models is crucial.
• Documenting processes and improving collaboration between teams for efficient workflows is expected.
• Staying up-to-date with industry trends and technologies in MLOps and machine learning is necessary.

Requirements:

• A Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field is required.
• Candidates must have 5+ years of experience in DevOps or MLOps roles.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is essential.
• Proficiency in programming languages such as Python, R, or Java is required.
• A strong understanding of cloud platforms (AWS, Azure, or GCP) and their machine learning services is necessary.
• Experience with containerization technologies, particularly Docker, and orchestration tools like Kubernetes is required.
• Knowledge of CI/CD tools like Jenkins, GitLab CI/CD, or Azure DevOps is essential.
• Familiarity with data pipeline tools and frameworks, such as Apache Airflow or Kubeflow, is required.
• Strong problem-solving and analytical skills are necessary.
• Excellent communication and teamwork abilities are essential for this role.

Benefits:

• The position offers a remote work environment.
• Candidates can choose between a 1099 or C2C employment arrangement.