We’re seeking a Machine Learning Engineer to design, train, and deploy scalable ML models that power data-driven products. You’ll collaborate with data scientists and backend teams to bring cutting‑edge research into production — combining traditional ML with next‑gen GenAI and LLM‑based systems .

Key Responsibilities

• Build and maintain end-to-end ML pipelines — from data preprocessing to deployment.
• Design, implement, and evaluate personalization , recommendation , and candidate‑selection algorithms .
• Develop and apply Graph Neural Networks (GNNs) and hybrid systems combining ML with LLMs.
• Optimize performance, accuracy, and model latency.
• Work with big data technologies (Spark, Airflow, Databricks) to ensure scalability.
• Collaborate with DevOps and engineering teams for MLOps integration .
• Lead and mentor team members, fo...