Job Description
Position Description:
We are seeking a skilled MLOps Engineer to design, build, and optimize machine learning pipelines and infrastructure. The ideal candidate will have strong expertise in MLOps practices, Spark, SQL, and Python, with hands-on experience deploying ML models on Cloud (Preferably on AWS) and On-prem (Hadoop, OCP etc). Knowledge of Generative AI (GenAI) and Large Language Models (LLMs) is a plus.
Your future duties and responsibilities:
. Build MLOps pipelines orchestration on Amazon SageMaker and/ or on-prem leveraging DevOPs tools and OCP platforms
. Write clean, efficient, and modular code in Python for MLOps, feature engineering, and automations.
. Optimize data pipelines using Apache Spark and SQL for large-scale data processing.
. Optimize data pipelines using Apache Spark and SQL for large-scale data processing.
. Collaborate with data scientists to productionize ML models and ensure s...
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