Machine Learning Ops Engineer

Join our team and be a part of an innovative and fast-growing company that values collaboration, creativity, and continuous improvement

Title: Machine Learning Ops Engineer

Location: San Francisco, California, United States

Salary: $115 Per hour

Company: Lobox

Employment Type: Contract

Job Function: Engineering, Information Technology

Job Description: We are seeking a highly skilled and experienced Machine Learning Ops Engineer to join our dynamic team. As the Machine Learning Ops Engineer, you will be responsible for maintaining and enhancing our machine learning infrastructure to support our growing data-driven business. You will work closely with our data scientists, software engineers, and DevOps team to deploy, monitor, and optimize our machine learning models in production.

Responsibilities:

• Collaborate with data scientists to understand their requirements and translate them into scalable and reliable machine learning solutions.
• Design, develop, and deploy machine learning pipelines and workflows to support various data science projects.
• Manage and maintain our machine learning infrastructure, including cloud-based services, data storage, and compute resources.
• Develop and implement processes for model training, testing, and deployment in production.
• Monitor and troubleshoot machine learning models in production, providing timely resolution to any issues that may arise.
• Work closely with the DevOps team to ensure smooth integration and deployment of machine learning models into our production environment.
• Continuously evaluate and improve the performance and scalability of our machine learning infrastructure.
• Stay up-to-date with the latest advancements in machine learning and data engineering and proactively suggest new technologies and best practices to improve our processes.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience as a Machine Learning Ops Engineer or in a similar role.
• Strong understanding of machine learning fundamentals and experience with popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Extensive experience with cloud-based services (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of software development principles and experience with programming languages such as Python, Java, or C++.
• Experience with data engineering and data processing tools (e.g., Spark, Hadoop, SQL).
• Proven track record of deploying and maintaining machine learning models in production.
• Strong problem-solving skills and the ability to work independently and in a team environment.
• Excellent communication and interpersonal skills to collaborate with cross-functional teams.
• Passion for learning new technologies and keeping up with industry trends.

We offer a competitive salary, comprehensive benefits package, and a supportive work environment to help you thrive and achieve your career goals. Apply now and take the first step towards an exciting career as a Machine Learning Ops Engineer!