About this role

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.

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.

AI Platform Engineer