𝗧𝗵𝗲 𝗥𝗼𝗹𝗲:
As a Machine Learning Engineer, you will be integral to ensuring the excellence of technological solutions, ensuring that systems align with business requirements and performance expectations.
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:
- ML Template Design: Develop and implement reusable templates and components to simplify the creation of AI, ML, and Generative AI (GenAI) applications.
- LLMOps Framework Development: Ensure that the company's ML capabilities are scalable across teams by building a robust LLMOps framework that promotes reusability and standardization.
- CI/CD Pipeline Automation: Work closely with the DevOps team to create and automate continuous integration and deployment pipelines designed specifically for ML models and related workflows.
- Cloud Infrastructure Monitoring: Provide assistance in monitoring cloud-based PaaS and IaaS services, ensuring their availability, performance, and security, with a particular focus on ML models and services.
- Process Optimization: Play a key role in enhancing internal processes related to ML and AI development to drive efficiency and innovation.
𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
✔ Experience: 4+ years in a similar role.
✔ Key Expertise: ML Frameworks (TensorFlow, PyTorch, or Scikit-learn), Python, GenAI, Azure
✔ Experience in software development methodologies such as Kanban or Scrum.
✔ Skills: Continuous improvement mindset, teamwork, and effective communication.
✔ Languages: Fluent English (written and spoken).
𝗪𝗵𝗮𝘁 𝗪𝗲 𝗢𝗳𝗳𝗲𝗿:
💰 Salary: Competitive package.
📈 Career growth and ongoing training.
