Everseen

AI Architect, Infrastructure & Pipelines

Everseen

full-time

Posted on:

Location Type: Hybrid

Location: Timișoara • 🇷🇴 Romania

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesMongoDBPythonPyTorchRayTensorflowTerraform

About the role

  • Architect and oversee the adoption of scalable AI infrastructures and select appropriate frameworks, tools, and technologies.
  • Ensure all products and systems adhere to a commonly defined performance evaluation methodology and appropriate monitoring and reporting systems are in place.
  • Ensure AI solutions adhere to ethical standards and regulatory requirements.
  • Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services.
  • 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
  • Databases: Snowflake, BigQuery, MongoDB
  • 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
  • Strategic thinking and problem-solving
  • Excellent communication and collaboration skills
  • Ability to lead cross-functional teams
Benefits
  • Safe, inclusive workplace
  • Opportunity to grow careers
  • Zero tolerance policy for bias and discrimination

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Machine LearningDeep LearningGenerative AILLM IntegrationEdge AIReal-time InferencePythonTensorFlowPyTorchMLOps
Soft skills
strategic thinkingproblem-solvingcommunicationcollaborationleadershipmentorship