Machine Learning Engineer • Senior

Who you are

You have a strong background in machine learning and experience delivering ML models and pipelines that address complex business challenges. With a solid understanding of ML Ops best practices, you ensure the successful deployment of ML models and application code. Your expertise in cloud-based architectures allows you to optimize ML models at scale, making you a valuable asset to any team.

You are proficient in programming languages such as Python and have hands-on experience with popular ML frameworks like Scikit-Learn and TensorFlow. Your passion for cutting-edge technology drives you to stay updated with the latest advancements in the field, and you thrive on solving customer problems through innovative solutions.

What you'll do

As a Senior Machine Learning Engineer at Rackspace, you will be responsible for designing and implementing machine learning models that deliver real-world value to our clients. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Your role will involve leveraging cloud technologies, particularly Azure, to build scalable ML solutions that enhance operational efficiency.

You will also be tasked with developing and maintaining ML pipelines, ensuring that they are robust and efficient. Your work will include monitoring model performance and making necessary adjustments to improve accuracy and reliability. You will engage in continuous learning and experimentation, pushing the boundaries of what is possible with machine learning.

In addition to technical responsibilities, you will play a key role in mentoring junior engineers and sharing your knowledge with the team. You will contribute to a culture of innovation and collaboration, helping to drive the success of our machine learning initiatives.

What we offer

At Rackspace, we are committed to your professional and personal growth. We provide a supportive environment where you can thrive and develop your skills. You will have the opportunity to work with a diverse range of clients and tackle challenging projects that make a real impact. Our remote work policy allows you to maintain a healthy work-life balance while being part of a dynamic team dedicated to excellence in cloud technologies.