AI (Infrastructure & Pipelines) Architect Jobs

AI (Infrastructure & Pipelines) Architect

Everseen

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As an AI Architect and reporting to Everseen's CTO, you will be responsible for aligning the ML development pipelines to the company standards and practices. You will participate in designing the standards and practices, ensuring their efficiency and scalability. This role bridges the gap between technical capabilities and strategic goals, ensuring scalable, secure, and efficient AI systems.

Job Responsibility:

Systems & Infrastructure: Architect and oversee the adoption of scalable AI infrastructures and select appropriate frameworks, tools, and technologies
Performance & Monitoring Standardisation: Ensure all products and systems adhere to a commonly defined performance evaluation methodology and appropriate monitoring and reporting systems are in place
Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements
Integration: Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services
Leadership: Provide technical guidance and mentorship to cross-functional teams

Requirements:

Strong knowledge of Machine Learning, Deep Learning
Generative AI & LLM Integration
Edge AI & Real-time Inference
Proficiency in Python, and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers
Experience with cloud platforms (Azure, GCP)
Understanding of data architecture, big data technologies, and model deployment
Strong understanding of ML training pipelines, data lifecycle, and model serving concepts
Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG)
Experience with MLOps and AI governance frameworks
Familiarity with ethical AI practices and data privacy regulations
Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML)
Familiarity with MLflow, Kubeflow, Airflow, Docker, Kubernetes
Familiarity with GitLab, Terraform, Helm

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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