Machine Learning Architect
2 weeks ago
We are seeking an experienced Senior AI/ML Engineer to lead the design and delivery of the machine learning core that powers an AI app platform.
This is a high-impact role focused on architecting a scalable system that enables users to build robust, AI-powered applications with minimal ML background.
You will own the entire ML lifecycle—from data ingestion to model deployment—and will be critical in ensuring the system is production-ready, secure, and adaptable.
Required Skills and Qualifications- 5+ years of experience in AI/ML engineering with a strong emphasis on end-to-end delivery into production environments.
- Proven hands-on experience in MLOps, including automated pipelines, CI/CD integration, model serving, and monitoring (preferably on Google Cloud Platform using tools like Vertex AI, BigQuery ML).
- Deep knowledge of neural networks and traditional ML models (e.g., time-series, classification, regression) with demonstrated applications in production settings.
- High proficiency in Python, with experience building scalable, API-driven microservices.
- Experience deploying containerised ML services using Docker, with strong familiarity with CI/CD workflows.
- Expertise in model validation, tuning, metadata tracking, and training history.
A pivotal role in building next-generation AI solutions for the telecom industry, with opportunities to influence platform direction and lead innovation.
Collaboration with a highly motivated, forward-thinking team committed to pushing the boundaries of what AI can do in telecom.
Competitive compensation including health benefits, retirement plans, and performance bonuses.
A culture of inclusivity, growth, and technological excellence—where your contributions directly shape real-world systems.
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