Join a dynamic team as a Senior AI Engineer, where you'll build and manage data pipelines and machine learning models. This role is perfect for someone with a strong background in data engineering and MLOps, looking to make an impact in a collaborative environment.
As a Senior AI Engineer at iSanqa, you will be part of a global IT Hub focused on enhancing the machine learning lifecycle. Your primary responsibility will be to build resilient data pipelines using AWS technologies, specifically with PySpark and Python. You will also automate infrastructure using Terraform and work on productionizing machine learning models with Amazon SageMaker.
In this role, you will collaborate closely with the Data Science and Engineering team to develop frameworks and tools that streamline the deployment and management of ML models and multi-agent AI systems. Your expertise in data engineering and MLOps will be crucial in bridging the gap between large-scale data processing and advanced AI orchestration.
Key responsibilities include: • Building and maintaining AWS data pipelines • Automating platform infrastructure with Terraform • Productionizing machine learning models using Amazon SageMaker • Collaborating with cross-functional teams to enhance AI capabilities
This position is ideal for experienced professionals who thrive in a fast-paced, innovative environment and are eager to work with cutting-edge technologies. If you have a strong background in data engineering and are passionate about AI, this role could be a great fit for you.
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