AWS SageMaker – 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 AWS SageMaker – 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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Senior Software Engineer https://whoneedsengineers.com/jobs/devops-cloud-and-it-operations/senior-software-engineer-9/ Tue, 01 Oct 2024 15:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/senior-software-engineer-9/ Senior Software Engineer

Job Description:

    Join our dynamic team as a Senior Software Engineer, where your expertise in machine learning and software development will play a pivotal role in shaping the future of advertising technology. You will be at the forefront of building powerful systems that connect our brands and partners with a vast audience, enabling highly relevant advertising experiences. In this role, you will collaborate closely with data scientists and product teams to translate complex requirements into robust software solutions. Your work will involve designing and implementing large-scale distributed machine learning architectures, performing operations that include feature engineering, model tuning, and deployment, all while ensuring optimal performance monitoring. This is a unique opportunity to leverage cutting-edge AI technologies to impact our business and the broader digital landscape significantly.

IT Languages:

  • Java
  • Python
  • Spark Scala
  • SQL

As a Senior Software Engineer, you will handle a variety of critical tasks that ensure the successful development and deployment of machine learning solutions.:

    Collaborate with data scientists and product teams to understand requirements for prototype and production software development;; Design and build large-scale distributed machine learning architecture on both public and private clouds;; Execute large-scale machine learning operations, including feature engineering, model tuning, and model deployment;; Utilize your knowledge of distributed file systems and database architecture to efficiently manage large datasets;; Develop a streaming platform using the latest streaming technologies to support both research and production needs;; Identify and resolve potential performance bottlenecks and scalability issues in algorithm designs;; Adopt modern development methodologies like Agile and Scrum to enhance project delivery

Spoken Languages:

  • English;; German;; French

Skillset:

  • Machine Learning
  • Big Data Technologies
  • Hadoop
  • Hive
  • Spark
  • Flink
  • AWS
  • AWS SageMaker
  • CI/CD
  • DevOps

Soft Skills:

  • Excellent communication skills
  • Team collaboration
  • Adaptability
  • Creative problem-solving

Qualifications:

  • M.S. in Computer Science, Engineering, or related field
  • Proven ability to thrive in a fast-paced, technical environment
  • Strong analytical and problem-solving skills

Years of Experience:

    5

Location:

    Ireland

Job Benefits:

  • Competitive salary
  • Flexible working hours
  • Hybrid work environment
  • Professional development opportunities
  • Health insurance
  • Retirement plans

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • We foster an inclusive and collaborative culture where innovation thrives. Our flexible-hybrid work approach allows employees to maintain a healthy work-life balance, and we value diversity and equal opportunities for all team members.

Opportunities For Advancement:

  • Career growth through mentorship programs, Access to advanced training and certifications, Participation in strategic projects

Visa Sponsorship:

    Available
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