Technical Consultant IA

Ingram Micro

  • Madrid
  • Permanente
  • Tiempo completo
  • Hace 2 días
It's fun to work in a company where people truly BELIEVE in what they're doing!Job Description:Accelerate your career. Join the organization that's driving the world's technology and shape the future.Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com.Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!Role SummaryWe are looking for an experienced AWS Cloud Solutions Architect with a strong focus on Artificial Intelligence (AI) and project delivery to lead the design and execution of end-to-end AI-powered cloud solutions. As a key member of the cloud and AI team, you will work closely with cross-functional teams to translate business requirements into scalable cloud architectures and drive successful delivery of AI/ML initiatives.Key Responsibilities:
  • Lead the design, development, and delivery of AI/ML-based cloud solutions on AWS.
  • Plan, coordinate, and manage the technical aspects of AI/ML project lifecycles — from proof of concept (POC) to production.
  • Design AI data pipelines, model training and deployment workflows using AWS services such as SageMaker, Lambda, Step Functions, and ECS.
Required Qualifications:
  • Five or more years of experience in a technical consulting type role
  • Excellent communicator both verbally and written (both local and English)
  • Experience with AI/ML services such as Amazon SageMaker, Comprehend, Rekognition, or Bedrock.
  • AWS Certified Solutions Architect – Professional and/or AWS Machine Learning – Specialty.
  • Experience with MLOps and deployment automation tools (e.g., MLflow, Kubeflow, Terraform, Jenkins).
  • Familiarity with data lake architecture and tools such as AWS Glue, Redshift, or Lake Formation.
Knowledge, Skills, and Characteristics
  • Experienced, mature, influential, assertive and diplomatic
  • Able to operate independently or as part of a larger team
  • Able to technically manage other people on large scale projects
  • Able to network with industry peers and customers
  • Industry leading knowledge of chosen subject matter
  • A flexible approach to work and prepared 'go the extra mile' to exceed customer expectations
  • Applies knowledge and skills through handling complex problems beyond own area of expertise
  • Ability and willingness to travel

Ingram Micro