MLOps Professional Services Engineer (Cloud & AI Infra)

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Overview

As a MLOps Professional Services Engineer (Cloud & AI Infra) at Lavendo, you will be integral to deploying and optimizing machine learning solutions in cloud environments. Your primary responsibility will center around collaborating with clients to understand their AI infrastructure needs, implementing robust MLOps practices, and acting as a bridge between data science and operations teams. You will leverage your technical expertise to ensure seamless integration of machine learning models into production systems while also providing ongoing support and training to clients to enhance their capabilities.

Job Responsibilities

• Collaborate with clients to gather and analyze their requirements for AI and machine learning deployment.
• Design and implement scalable MLOps architectures tailored to client specifications.
• Integrate machine learning models into cloud environments while ensuring high availability and performance.
• Develop automation solutions for data and model pipelines to facilitate continuous integration and deployment.
• Provide ongoing client support and training to optimize the performance of deployed models.
• Monitor and maintain operational performance of AI systems, troubleshooting issues as they arise.
• Document and communicate best practices for machine learning operations to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in MLOps or related fields.
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of containerization technologies, particularly Docker and Kubernetes.
• Familiarity with CI/CD practices and tools like Jenkins or GitLab CI.
• Excellent communication skills and the ability to work collaboratively with clients and team members.

Technologies & Tools

In this role, you will work extensively with various technologies and tools including cloud services (AWS, Azure, Google Cloud), machine learning frameworks (TensorFlow, PyTorch), container orchestration platforms (Kubernetes), and CI/CD tools (GitLab CI, Jenkins). Familiarity with data frameworks such as Apache Spark or Kafka for real-time data processing will also be beneficial for this position, as well as experience in scripting languages (Python, Bash) for automation tasks.

Ideal Candidates

Ideal candidates for the MLOps Professional Services Engineer position at Lavendo possess a blend of strong technical skills and exceptional interpersonal abilities. They are analytical thinkers, capable of problem-solving in complex environments, and demonstrate a keen interest in emerging AI technologies. A proactive approach to client engagement and a commitment to fostering long-term relationships are essential characteristics. Additionally, candidates should show adaptability to changing project requirements and a strong desire for continuous learning in the rapidly evolving field of machine learning operations.