TECH AALTO PTE. LTD.
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AI engineer
GENERAL DESCRIPTION
We are seeking a skilled machine learning platform engineer (MLOps) to join our agile platform team which is part of our ML & AI ART. In this role, Bridge the gap between experimental data science and production-grade systems. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions. Further, you drive the orchestration of advanced agentic workflows to enable autonomous, AI-driven systems. You will be responsible for engineering robust data pipelines, establishing comprehensive model management lifecycles, overseeing all foundational platform-level AI integrations –including engineering a robust library of AI skills for agent use.
kEY FEATURES OF THE POSITION
Functional /Technical
· Design,develop and deploy machine learning solutions and services
· Implement end-to-end machine learning pipelines from data ingestion to training and model serving
· Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
· Manage the machine learning and model lifecycle (experimentation, registry, deployment)
· Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
· Containerize applications using Docker and orchestrate them via Kubernetes
· Build and maintain CI/CD pipelines for ML models and LLM applications
· Collaborate with data scientists to refactor research code into production-ready Python code
· Monitor model performance, data drift, and performance in production
· Assess and integrate AI solutions ensuring optimal performance and reliability
· Design and implement production grade RAG systems
· Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
· Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions
SKILLS REQUIREMENTS OFTHE POSITION
Competencies
Educationand skills requirements
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