MLOps Engineer - Machine Learning Infrastructure

We have partnered with a fast-growing AI / robotics start-up that is revolutionizing the way we interact with technology. They are seeking a talented MLOps Engineer to join their team. You will work closely with our data scientists, software developers, and DevOps engineers to ensure that ML models are production-ready and can be seamlessly integrated into our applications.

Responsibilities:

• Develop and maintain the infrastructure for deploying and scaling machine learning models
• Collaborate with data scientists to ensure that models are trained and tested effectively
• Develop and maintain automated testing and validation procedures to ensure the accuracy and reliability of our models
• Design and implement data pipelines to ensure the efficient and effective flow of data to and from our models
• Collaborate with software developers to integrate models into our applications
• Develop and maintain monitoring and logging systems to ensure that models are running smoothly and any issues are quickly identified and resolved
• Work with DevOps engineers to ensure that our infrastructure is scalable, secure, and efficient

Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
• 3\+ years of experience in MLOps or related field
• Strong background in machine learning, data engineering, and software engineering
• Experience with popular ML libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Experience with cloud infrastructure providers such as AWS, Azure, or GCP
• Experience with containerization technologies such as Docker and Kubernetes
• Excellent problem-solving and analytical skills
• Strong communication and collaboration skills
• If you are passionate about AI and robotics and want to work on cutting-edge technologies, this is an excellent opportunity to join a fast-growing start-up and make a significant impact.

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