Senior Delivery Consultant- GenAI/ML, AWS

AWS EMEA SARL (Italy Branch); Milano; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading company in the cloud computing sector seeks a Senior Delivery Consultant specializing in Generative AI and Machine Learning. The role involves designing scalable applications, mentoring, and collaborating with customers to implement cutting-edge AI solutions. Candidates should possess cloud experience and a strong educational background in technical fields.

Competenze

• 5+ years of cloud-based solution experience.
• Experience in software development with object-oriented language.
• Demonstrated experience in hosting and deploying GenAI/ML solutions.

Mansioni

• Designing, implementing, and building complex GenAI and ML applications on AWS.
• Providing technical guidance and support throughout project delivery.
• Collaborating with customers to gather requirements and propose strategies.

Conoscenze

Cloud solutions

Machine Learning

Generative AI

Software Development

Deep Learning

Communication

Formazione

Bachelor's degree in computer science, engineering, mathematics

AWS Professional level certification

Masters or PhD in computer science or related field

Strumenti

AWS services (SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, EC2)

Descrizione del lavoro

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Senior Delivery Consultant- GenAI/ML, AWS, Milan

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Client:

AWS EMEA SARL (Italy Branch)

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

3018adeac4c9

Job Views:

10

Posted:

24.06.2025

Expiry Date:

08.08.2025

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Job Description:

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. At ProServe we help AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data architects, data scientists, ML engineers working step-by-step with customers to build solutions that harness the power of generative AI.

Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

BASIC QUALIFICATIONS

- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in software development with object oriented language
- Demonstrated experience in hosting and deploying GenAI/ML solutions in production (e.g., for training, fine tuning, and inferences)

PREFERRED QUALIFICATIONS

- AWS Professional level certification
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts