Job Description
As an MLOps Specialist, you will be responsible for deploying, monitoring, and optimizing machine learning models and pipelines. You will work closely with data scientists, engineers, and other stakeholders to ensure seamless integration and operation of machine learning solutions.
Key Responsibilities:
- Design, build, and maintain machine learning pipelines and infrastructure.
- Deploy and manage models in production environments, ensuring scalability and reliability.
- Monitor model performance, troubleshoot issues, and optimize models for better accuracy and efficiency.
- Collaborate with data scientists and engineers to integrate models into existing systems and workflows.
- Implement best practices for model versioning, data management, and model retraining.
- Develop automated tools and scripts to streamline MLOps processes.
- Stay up-to-date with the latest trends and technologies in machine learning and MLOps.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 3 to 5 years of experience in machine learning, data engineering, or a related field.
- Strong experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Proficiency in programming languages such as Python, R, or Java.
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
- Solid understanding of CI/CD pipelines and version control systems (e.g., Git).
- Excellent problem-solving skills and the ability to work independently and collaboratively.