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.