Containerization (Docker, ECS, EKS) – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 13 Oct 2024 22:40:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Containerization (Docker, ECS, EKS) – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 AI/ML Developer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ai-ml-developer-2/ Sun, 13 Oct 2024 22:40:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/ai-ml-developer-2/ AI/ML Developer

Job Description:

    We are seeking a skilled AI/ML Developer who has extensive experience with large language models and can effectively collaborate with data scientists and engineers to build and implement machine learning solutions. The ideal candidate will have a deep understanding of AWS AI/ML services and the ability to develop and deploy AI/ML models using tools such as SageMaker, Rekognition, and Comprehend. The role involves installing, configuring, and maintaining Linux servers to ensure optimal performance, security, and stability. You will also design and manage containerized applications using AWS Cloud Containerization services, such as ECS and EKS, alongside Docker, while developing CI/CD pipelines for automated deployment and scalability. This position offers a fantastic opportunity to work on cutting-edge technologies and contribute to innovative projects in the AI/ML space.

IT Languages:

  • Python
  • Java
  • SQL

As an AI/ML Developer, your primary responsibilities will include the following::

    Develop and deploy machine learning models using AWS services;; Collaborate with data teams to design effective AI solutions;; Maintain and optimize Linux server performance;; Implement containerization strategies using Docker and AWS services;; Create and manage CI/CD pipelines for software deployment

Spoken Languages:

  • English

Skillset:

  • AWS SageMaker
  • AWS Rekognition
  • AWS Comprehend
  • Linux server management
  • Containerization (Docker, ECS, EKS)
  • CI/CD pipelines

Soft Skills:

  • Strong communication skills
  • Team collaboration
  • Problem-solving abilities
  • Adaptability to change

Qualifications:

  • Bachelor’s degree in Computer Science or a related field
  • Proven experience in AI/ML development
  • Strong knowledge of AWS AI/ML services

Years of Experience:

    5

Location:

    Wilmington, DE, United States

Job Benefits:

  • Competitive salary
  • Flexible working hours
  • Health and wellness programs
  • Opportunities for professional development

Working Conditions:

    Full Time

Employment Type:

    Contract

Company Culture:

  • The company fosters a culture of innovation and teamwork, where employees are encouraged to share ideas and collaborate on impactful projects. A commitment to professional growth and continuous learning is upheld, with ample opportunities for skill enhancement and career advancement.

Opportunities For Advancement:

  • Career growth into senior technical roles, Opportunities to lead projects, Involvement in innovative AI/ML initiatives

Visa Sponsorship:

    Available
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