We are looking for a highly skilled and experienced MLOps Engineer to join our team at Wits Innovation Lab. The ideal candidate should have a solid educational background in Computer Science, Data Engineering, Artificial Intelligence, or a related discipline, with 3-8 years of experience.
Roles and Responsibility
- Design and implement scalable and efficient machine learning models and algorithms.
- Collaborate with cross-functional teams to integrate machine learning models into larger systems.
- Develop and maintain large-scale data pipelines and architectures.
- Ensure the quality and integrity of machine learning models and data.
- Participate in code reviews and contribute to improving overall code quality.
- Stay updated with industry trends and advancements in machine learning and artificial intelligence.
Job Requirements
- Strong proficiency in programming languages such as Python, Java, or C++.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Familiarity with DevOps tools and practices.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Certifications in cloud DevOps or MLOps platforms are desirable.
- Contributions to MLOps, AIOps, or DevOps open-source projects are preferred.