MLOps Engineer

1. Managing and supporting the needs of teaching and research laboratories focused on deep learning.

2. Establishing and maintaining supporting infrastructures, including data storage, user management, version control, and managing and sharing open-source code on platforms such as GitHub and Hugging Face.

3. Working with and maintaining physical infrastructures such as motion capture systems, embedded systems, and small autonomous tools.

4. Setting up, training, and supporting work environments and frameworks dedicated to deep learning, including Conda, PIP, Pytorch, TensorFlow, and other specialized software packages.

5. Providing guidance and assistance in evaluating students working on final projects.

6. Procuring equipment and components for the teaching and research laboratories, managing supplier quotes, and overseeing equipment inventory.

**Job Requirements:**

1. A Bachelor's degree in Electrical and Electronics Engineering, Computer Science, or a related field.

2. At least three years of experience in DevOps (experience in MLOps is an advantage).

3. Strong knowledge of software packages such as Pytorch and TensorFlow.

4. Experience in setting up and maintaining deep learning infrastructures (advantageous).

5. Experience in training and providing technical instruction (advantageous).

**Employment Type:** Full-time (100%)

**Application Instructions:**
1.CV
2. Short description of how previous experience makes you a perfect fit for this vacancy