Publicis Sapient - Machine Learning Engineer LLM Applications

Description :

Machine Learning Engineer LLM Applications

Overview :

We are looking for a Machine Learning Engineer with hands-on experience in productionizing Large Language Model (LLM) applications. The ideal candidate will be skilled at building scalable, reliable ML pipelines and deploying models to production environments.

Key Responsibilities :

• Design, develop and deploy LLM-based applications using scalable cloud infrastructure.
• Build and orchestrate data and model pipelines using Apache Airflow and GCP services (BigQuery, Vertex AI, Cloud Run, etc.).
• Implement retrieval-augmented generation (RAG) systems with vector databases (e.g., Pinecone, FAISS, Weaviate).
• Containerize, test and deploy ML workloads using Docker and Kubernetes.
• Maintain CI / CD workflows using Git, Jenkins, or similar tools.
• Monitor, optimize and troubleshoot production ML systems for reliability and performance.

Required Skills & Experience :

Good to Have :

(ref : hirist.tech)