AI Platform Engineer

Job responsibilities: - Design, develop, and maintain scalable AI platforms and infrastructure to support machine learning and data science initiatives. - Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments. - Optimize AI models for performance, scalability, and reliability in cloud and on-premise environments. - Implement and manage CI/CD pipelines for AI/ML workflows to ensure seamless deployment and updates. - Monitor, troubleshoot, and improve the performance of AI systems and platforms. - Ensure data security, compliance, and governance standards are met across all AI-related projects. - Stay updated on the latest advancements in AI technologies and recommend innovative solutions to enhance platform capabilities. - Document processes, workflows, and best practices to support knowledge sharing and team collaboration. Job requirements: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 3+ years of experience in designing and implementing AI/ML platforms or infrastructure. - Proficiency in programming languages such as Python, Java, or Scala. - Experience with cloud platforms like AWS, Azure, or Google Cloud, and containerization tools like Docker and Kubernetes. - Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Familiarity with big data technologies such as Hadoop, Spark, or Kafka. - Knowledge of DevOps practices, including CI/CD pipelines and infrastructure as code (e.g., Terraform, Ansible). - Excellent problem-solving skills and the ability to work collaboratively in a team environment. - Strong communication skills to effectively convey technical concepts to non-technical stakeholders.