As a Machine Learning Engineer, you'll focus on building and maintaining machine learning models and systems. This role is ideal for someone passionate about AI and data-driven solutions.
In this role, you'll be part of a dynamic team dedicated to advancing machine learning capabilities. Your primary responsibility will be to develop and implement MLOps practices that streamline the deployment and monitoring of machine learning models. You'll work closely with data scientists and software engineers to ensure that models are effectively integrated into production systems.
Your day-to-day tasks will include writing efficient code in Python and SQL, as well as collaborating on the architecture of machine learning solutions. Familiarity with deep learning frameworks like TensorFlow or PyTorch will be beneficial, as you may also work with vector databases to enhance model performance.
This position is well-suited for individuals who are passionate about machine learning and enjoy solving complex problems. Strong programming skills and a solid understanding of data management are essential for success in this role.
Key requirements include: • Proficiency in Python and SQL • Experience with machine learning frameworks (TensorFlow/PyTorch is a plus) • Understanding of MLOps principles and practices
If you're looking to make an impact in the field of machine learning and thrive in a fast-paced environment, this role could be a great fit for you.
You'll be taken to the original listing on CareerJet to apply.