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Software Delivery Manager for AI Pipelines
19 hours ago
We are a pioneer in AI-driven innovation, delivering solutions that transform businesses and industries. Our team environment values expertise, fosters collaboration, and encourages passion for AI to grow.
The JobWe seek a skilled DevOps Engineer with a strong understanding of DevOps practices and a keen interest in artificial intelligence. This role involves designing, building, and maintaining scalable, secure, and efficient infrastructure to support AI applications and pipelines.
Key Responsibilities- Implement CI/CD pipelines to ensure seamless deployment of AI and software solutions.
- Develop and maintain cloud infrastructure optimized for AI workloads (e.g., GPU clusters).
- Collaborate with data scientists, AI engineers, and software developers to operationalize machine learning models.
- Monitor system performance, troubleshoot issues, and ensure high availability and security.
- Automate repetitive tasks to optimize workflows and improve system efficiency.
- Stay updated on industry trends and emerging technologies in AI and DevOps, sharing insights with the team.
- Proven experience as a DevOps Engineer or in a similar role, with a solid grasp of DevOps tools and practices.
- Proficiency in cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Hands-on experience with infrastructure-as-code tools like Terraform or Ansible.
- Familiarity with machine learning workflows, AI frameworks (e.g., TensorFlow, PyTorch), and MLOps concepts is beneficial.
- Strong scripting skills in Python, Bash, or similar languages.
- Passion for learning and applying AI technologies practically and positively.
- Excellent problem-solving skills and a collaborative mindset.
- A chance to work on cutting-edge AI projects with a team of passionate innovators.
- Opportunities for professional growth and continuous learning.
- A flexible, inclusive, and supportive work environment.
- A competitive salary and benefits package.
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