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DevOps Engineer with ML/AI Knowledge - Remote

Entreprise : BIZ4D

Localisation : Région de :International

Description de l'entreprise : Here at Biz4d, we share a mutual passion which is driving success through mentoring programs in a digital age. We are a diverse dream team who is...lire la suite

Site internet : https://www.biz4d.com/

Source : emploisenegal.com

Date de publication : 2024-12-06

Description du poste :

We are seeking a talented  DevOps Engineer with ML/AI Knowledge  to join our team. Working remotely for a German-based company, you will support and optimize the infrastructure and deployment processes for machine learning and AI-driven applications. This role requires a combination of DevOps expertise and foundational knowledge of machine learning technologies to bridge the gap between development and operations effectively.
Responsibilities :

  1. Infrastructure Management
    • Build and manage scalable, cloud-based infrastructure for AI/ML applications.
    • Implement and maintain containerized environments using Docker and orchestration tools like Kubernetes.
    • Optimize deployment pipelines to support seamless integration of machine learning models.
  2. CI/CD and Automation
    • Develop and manage CI/CD pipelines to automate build, testing, and deployment processes.
    • Monitor and enhance system reliability, scalability, and performance through proactive automation.
  3. AI/ML Workflow Support
    • Collaborate with data scientists and AI engineers to streamline model training, testing, and deployment.
    • Manage and deploy ML pipelines, ensuring integration into production environments.
    • Optimize workflows for ML model serving and API integration.
  4. Monitoring and Security
    • Set up monitoring tools to track system performance, application uptime, and resource utilization.
    • Implement security best practices to safeguard sensitive data and ensure compliance with regulations.
  5. Collaboration and Troubleshooting
    • Work closely with development teams to resolve infrastructure-related bottlenecks.
    • Provide technical support for AI/ML applications in production.
Profil recherché :

Required Technical Skills:

  • DevOps Expertise :
    • Proficiency with containerization tools (Docker) and orchestration platforms (Kubernetes).
    • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
    • Strong knowledge of CI/CD pipelines and automation tools (eg, Jenkins, GitHub Actions).
  • Infrastructure and Deployment :
    • Expertise in managing scalable, distributed systems.
    • Experience in deploying AI/ML models in production environments.
    • Familiarity with infrastructure as code tools such as Terraform or Ansible.
  • AI/ML Knowledge :
    • Foundational understanding of machine learning and AI workflows.
    • Experience with managing ML pipelines and serving models through APIs.
    • Basic knowledge of LLMs and their deployment in production.
  • Monitoring and Security :
    • Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
    • Experience in implementing best practices for security and compliance.
  • Database and Version Control :
    • Experience with SQL and NoSQL databases.
    • Proficiency in Git for version control.

Experience and Qualifications:

  • Education : Bachelor's or Master's degree in Computer Science, DevOps, or a related field.
  • Experience : At least 3 years of professional experience in DevOps, with exposure to AI/ML workflows.
  • Language Skills : Excellent English communication skills; German proficiency is a plus.
  • Collaboration : Proven ability to work in cross-functional and international teams.
  • Problem-Solving : Strong analytical skills and a proactive approach to troubleshooting.

What We Offer

  • Remote Work : Fully remote position.
  • Innovative Projects : Opportunity to work on cutting-edge conversational AI projects.
  • Collaborative Environment : Join a dynamic team that values ​​collaboration and innovation.

Date de création : 2025-01-19 00:09:44.143560

Niveau d'étude : Non spécifié

Niveau d'expérience : Expérience entre 2 ans et 5 ans

Type de contrat : Contrat proposé :Freelance

Compétences : GRAFANA, ELK, NOSQL, JENKINS, AZURE, DOCKER, SQL, AUTOMATE, GIT, API, GAP

Secteur d'activité : Marketing, communication, médias

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