MLOps Engineer

What you'll work on

• Assist in setting up and maintaining machine learning development environments.
• Support data scientists in packaging and deploying models.
• Automate data ingestion and preprocessing pipelines.
• Monitor model performance and system logs.
• Write CI/CD pipelines for ML and LLM workflows.

Skills

• Solid understanding of ML lifecycle and model deployment.
• Experience with Docker, Git, and bash scripting.
• Exposure to CI/CD tools (GitHub Actions, Jenkins, or GitLab CI).
• Experience with SQL
• Exposure to deep learning frameworks (TensorFlow, PyTorch)
• Exposure to Gen AI tools (Hugging Face, LLM APIs).