Job Description:
We are seeking a proactive ML Pipeline Automation Intern to join our MLOps & Data Engineering team. This internship is an excellent opportunity for students or recent graduates interested in gaining hands-on experience in automating machine learning workflows and supporting production-ready ML pipelines. You will work closely with experienced engineers to learn and contribute to building scalable, efficient automation solutions.
Key Responsibilities:
- Assist in developing and automating machine learning pipelines for data processing, model training, deployment, and monitoring.
- Support the integration of automation tools and scripts to improve ML workflow efficiency.
- Help maintain and monitor ML pipelines to ensure reliability and performance.
- Collaborate with data engineers, ML engineers, and DevOps teams to understand pipeline requirements.
- Participate in testing, debugging, and documentation of automated workflows.
- Learn best practices in MLOps, CI/CD, and version control.
- Explore emerging tools and technologies related to ML automation.
Requirement:
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or related field.
- Basic programming skills in Python, Bash, or similar languages.
- Familiarity with machine learning concepts is a plus.
- Interest in cloud computing, containerization (Docker), and automation tools.
- Strong analytical and problem-solving skills.
- Ability to work collaboratively and take initiative.
- Eagerness to learn and adapt in a fast-paced environment.
