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AI/ML Architect

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Ingram Micro

Sep 20

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Mumbai

AI generated summary

  • You need AWS ML certification, 3+ years in AWS cloud, ML lifecycle experience, hands-on in Python/R, deep learning, AWS AI/ML services, excellent communication, and travel willingness.
  • You will design AI solutions on AWS, manage implementations, lead customer engagements, develop POCs, provide technical support, and stay updated on technologies while building relationships with partners.

Requirements

  • Desirable Qualifications
  • AWS Certified Machine Learning – Specialty certification.
  • Expected Experience (Design, Deployment and Transformation)
  • 3+ years on AWS complex cloud environments
  • Relevant experience in machine learning model development lifecycle including (but not limited to) training, fine tuning feature engineering techniques and deployment options
  • Significant hands-on experience with Python, R or other programming languages and independently building prototype applications
  • Significant experience building with libraries like PyTorch, Tensorflow, MxNet and ScikitLearn
  • Experience with deep learning and neural networks.
  • Familiarity with data visualization tools such as Tableau or QuickSight.
  • Knowledge of data security and compliance regulations.
  • Proven experience with AWS AI/ML services such as SageMaker, Rekognition, Comprehend, and Lex.
  • Knowledge, Skills, and Characteristics
  • Five or more years of experience in a technical consulting and business analyst type role
  • Excellent communicator both verbally and written (both local and English)
  • 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

Responsibilities

  • Work with end-customer’s AI team to deeply understand their business and technical needs and build AI solutions that make the best use of the AWS Cloud platform and AI/ML services
  • Undertake individual consultancy assignments or work on a project as part of a larger team analysing customer requirements, gathering and analysing data and recommending solutions
  • Technically manage the assessment, design, and implementation of solutions
  • Ensure consultancy assignments are undertaken consistently and with quality
  • Highlight technical risks so that any Ingram Micro exposure to commercial loss can be minimised
  • Produce and update assignment documentation as required
  • Ensure that hand over to relevant support organisation is successfully completed
  • Provide technical support as requested, for internal and external customers
  • Lead and present at customer opportunities and workshop sessions
  • Design and implement scalable, secure, and high-performance AI architectures on AWS
  • Develop and deploy machine learning models and AI solutions
  • Ensure AI architecture aligns with business requirements and industry best practices
  • Lead, or be part of, customer scoping calls or workshop sessions
  • Lead and contribute to Statement of Works
  • Build and maintain a good awareness of the internal SMEs areas of specialism
  • Educate partners and end-customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
  • Identify other Ingram Micro service and sales opportunities
  • Evangelize AWS Services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events
  • Support the development of the regional AWS services propositions, solutions and GTM
  • Work with thought leaders within Ingram Micro to allow for continued success and to help identify areas of potential growth Lead with qualification of designs and opportunities
  • Develop proof of concepts (POCs) to showcase the capabilities of proposed AI solutions
  • An active and contributing member of our regional AWS technical community
  • Build and maintain a strong relationship with the channel partners internal technical team
  • Keep up-to-date with current and future technologies, products and strategies
  • Build a solid skills foundation in chosen subject matter
  • Maintain relevant vendor certifications
  • Build and enhance relationships with peers
  • Continue development of consultative skills

FAQs

What is the main role of an AWS AI/ML Architect at Ingram Micro?

The main role of the AWS AI/ML Architect is to assist end-customers in designing and building machine learning solutions using the AWS AI and ML stack, addressing complex business challenges, and promoting AWS AI/ML design patterns and best practices.

What qualifications are desirable for the AWS AI/ML Architect position?

A desirable qualification for this role is the AWS Certified Machine Learning – Specialty certification.

How many years of experience is expected for candidates applying for this position?

Candidates are expected to have five or more years of experience in a technical consulting and business analyst type role, as well as 3+ years in AWS complex cloud environments.

What programming skills are required for this role?

Significant hands-on experience with Python, R, or other programming languages is required, along with experience in building prototype applications.

What AWS AI/ML services should candidates be familiar with?

Candidates should have proven experience with AWS AI/ML services such as SageMaker, Rekognition, Comprehend, and Lex.

Is there an opportunity for personal skills development within this role?

Yes, there is an opportunity for personal skills development, including maintaining relevant vendor certifications and continuing development of consultative skills.

What kind of environment does Ingram Micro promote for its employees?

Ingram Micro promotes a diverse, inclusive, and accessible environment where all associates are valued, respected, and supported.

Will the AWS AI/ML Architect need to travel?

Yes, the position requires the ability and willingness to travel as needed.

What soft skills are important for this position?

Important soft skills for this position include excellent communication both verbally and in writing, the ability to operate independently or as part of a larger team, and the capability to network with industry peers and customers.

What type of projects will the AWS AI/ML Architect be involved in?

The AWS AI/ML Architect will be involved in project delivery, conducting customer scoping calls, developing proof of concepts, and leading architectural discussions for successful deployment of AI solutions in the cloud.

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Ingram Micro

IT Services and IT Consulting

Technology
Industry
10,001+
Employees
1979
Founded Year

Mission & Purpose

Ingram Micro helps businesses Realize the Promise of Technology™. It delivers a full spectrum of global technology and supply chain services to businesses around the world. Deep expertise in technology solutions, mobility, cloud, and supply chain solutions enables its business partners to operate efficiently and successfully in the markets they serve. Unrivaled agility, deep market insights and the trust and dependability that come from decades of proven relationships, set Ingram Micro apart and ahead.