MLOps Professional Services Engineer (Cloud & AI Infra)

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Job Overview

The MLOps Professional Services Engineer (Cloud & AI Infra) at Lavendo will play a pivotal role in bridging the gap between machine learning model development and operational deployment. The successful candidate will be responsible for implementing and optimizing machine learning workflows, ensuring scalability and reliability of AI infrastructure, and collaborating closely with clients to address their unique MLOps challenges. This position requires a comprehensive understanding of both cloud technologies and machine learning concepts to deliver effective solutions that enhance operational efficiency and drive business value.

Job Responsibilities

• Design and implement MLOps pipelines that facilitate smooth deployment and management of machine learning models.
• Collaborate with data scientists and engineering teams to streamline data processing and model training workflows.
• Optimize cloud-based infrastructure for machine learning workloads to ensure efficient use of resources.
• Provide technical guidance to clients on best practices for MLOps and AI infrastructure architectures.
• Monitor and maintain deployed machine learning models, ensuring their performance and reliability.
• Assist in troubleshooting and debugging issues related to AI applications and cloud environments.
• Document processes and share knowledge with clients and internal teams to facilitate continuous learning.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field; a Master’s degree is a plus.
• Proven experience in MLOps, machine learning, or AI infrastructure roles.
• Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
• Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Familiarity with continuous integration and continuous deployment (CI/CD) processes for machine learning.
• Knowledge of programming languages such as Python or Java and experience with ML libraries like TensorFlow or PyTorch.
• Exceptional problem-solving skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The MLOps Professional Services Engineer will utilize a variety of technologies and tools to effectively manage AI infrastructure and workflows. These include cloud platforms such as AWS, Google Cloud, or Microsoft Azure, containerization and orchestration technologies like Docker and Kubernetes, programming languages like Python and Java, along with machine learning frameworks such as TensorFlow and PyTorch. Familiarity with CI/CD tools and version control systems such as Git will also be essential in this role.

Ideal Candidates

Ideal candidates for the MLOps Professional Services Engineer position at Lavendo will possess a strong analytical mindset paired with excellent communication skills. They should exhibit a passion for innovation and a keen interest in staying updated with the latest trends in machine learning and AI technologies. A proactive approach to problem-solving, coupled with the ability to work collaboratively with cross-functional teams, will set exceptional candidates apart in this dynamic role.