Staff Software Engineer (MLOps, AI Platform) - Remote

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Overview

Get It Recruit - Information Technology is seeking a highly skilled Staff Software Engineer specializing in MLOps and AI Platform to join our innovative team remotely. In this role, the successful candidate will be responsible for architecting and implementing robust machine learning pipelines, enhancing the infrastructure for AI capabilities, and collaborating with cross-functional teams to deploy scalable ML solutions. The role requires a deep understanding of MLOps best practices, cloud technologies, and experience in building end-to-end machine learning systems.

Job Responsibilities

• Design and implement scalable MLOps pipelines that ensure efficient deployment and monitoring of machine learning models.
• Collaborate with data scientists and engineers to optimize machine learning workflows and infrastructures.
• Develop robust software solutions to support AI-driven applications and services.
• Monitor and maintain the performance of machine learning models in production environments.
• Implement CI/CD strategies for machine learning operations to ensure responsive deployment cycles.
• Conduct code reviews and mentor junior engineers to improve coding standards and practices.
• Stay current with industry trends in MLOps and AI technologies to drive continuous improvement initiatives.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of professional software engineering experience with a focus on machine learning systems.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with MLOps frameworks and tools (e.g., MLflow, Kubeflow, Apache Airflow).
• Deep understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of containerization technologies like Docker and orchestration platforms such as Kubernetes.
• Excellent problem-solving skills and ability to work in a fast-paced, team-oriented environment.

Technologies & Tools

The Staff Software Engineer position leverages a diverse set of technologies and tools essential for MLOps and AI implementation. Candidates will work prominently with cloud services (AWS, Azure, GCP), containerization platforms (Docker, Kubernetes), and various machine learning frameworks (TensorFlow, PyTorch). Familiarity with CI/CD tools and methodologies will also play a key role in streamlining deployment processes.

Ideal Candidates

The ideal candidate for this position possesses a strong analytical mindset and exhibits a passion for machine learning and AI technologies. They are detail-oriented, innovative problem solvers who thrive in collaborative settings while demonstrating leadership qualities. Candidates should be proactive in exploring new technologies and methodologies, and show a commitment to continuous learning and growth within the field.