Join a dynamic team as a Senior AI Engineer, where you'll work at the intersection of data engineering and AI. This role is perfect for those who thrive in building robust data pipelines and automating machine learning workflows.
As a Senior AI Engineer at iSanqa, you will play a crucial role in bridging data engineering and AI. Your primary responsibility will be to design and build scalable data pipelines that support advanced AI applications. You'll work closely with the Data Science and Engineering team to enhance the company's product portfolio, focusing on MLOps and cloud infrastructure.
In your day-to-day work, you will utilize AWS services to create resilient data pipelines using PySpark and Python. You'll also automate MLOps workflows with Terraform and ensure that machine learning models are production-ready using Amazon SageMaker. This role requires a strong understanding of cloud technologies and a passion for AI.
The ideal candidate is someone with at least five years of experience in data engineering or MLOps, who is comfortable working in a hybrid environment. You should have a solid grasp of AWS services and be skilled in programming with Python. If you enjoy tackling complex challenges and are eager to contribute to innovative AI solutions, this position is for you.
Key responsibilities include: • Designing and building scalable data pipelines • Automating MLOps workflows using AWS and Terraform • Productionizing machine learning models with Amazon SageMaker • Collaborating with cross-functional teams to enhance AI capabilities
This role is not entry-level friendly, as it requires significant experience and technical expertise. If you are ready to take your career to the next level in a collaborative and tech-driven environment, we encourage you to apply.
You'll be taken to the original listing on PNet to apply.