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AI Operations Engineer
2 months ago
We are seeking a talented MLOps Engineer to join our elevAIte team at iOPEX. The ideal candidate will have a strong background in machine learning operations, with experience in deploying, managing, and scaling AI models in production environments.
This role plays a crucial part in ensuring the smooth operation and continuous improvement of our AI solutions.
Key Responsibilities:- Design, implement, and maintain scalable and reliable ML pipelines for model deployment and monitoring.
- Collaborate with data scientists, AI engineers, and software developers to integrate ML models into production systems.
- Automate the end-to-end ML lifecycle, including data preparation, model training, validation, deployment, and monitoring.
- Develop and manage CI/CD pipelines for ML projects to ensure rapid and safe deployment of models.
- Monitor model performance in production and implement strategies for continuous improvement and retraining.
- Ensure compliance with data security and privacy regulations throughout the ML lifecycle.
- Troubleshoot and resolve issues related to ML model deployment and operation.
- Stay current with industry trends and best practices in MLOps, applying new techniques and tools to enhance our platform.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as an MLOps Engineer, DevOps Engineer, or similar role.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deployment tools.
- Proficiency in programming languages such as Python, Rust.
- Good Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization/orchestration tools (e.g., Docker, Kubernetes) and IaC
- Excellent experience setting up kubernetes clusters on-prem and in any of the clouds (EKS, GKE etc.)
- Experience setting up CI/CD tools and practices (e.g., Jenkins, Github, GitLab CI/CD).
- Good Linux Scripting skills
- Experience of any one infrastructure-as-code tools (e.g., Terraform, Cloud Formation etc.).
- Understanding of monitoring and logging tools (e.g., Prometheus, Grafana).
- Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.
- Willingness to learn and adapt to newer technologies both open and closed
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Opportunity to work on state-of-the-art AI technologies and innovative projects.
- Collaborative and inclusive work environment.
- Professional growth and development opportunities.
- Competitive salary and comprehensive benefits package.
