Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Se[...]

Amazon; Asti; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading cloud services provider in Italy is seeking a Delivery Consultant - Machine Learning Engineer to work with AWS clients on AI/ML solutions. The role involves implementing end-to-end projects, designing scalable ML solutions, and collaborating with teams to enhance cloud adoption. Ideal candidates should have AWS experience, strong communication skills, and familiarity with machine learning pipelines and MLOps practices.

Competenze

• Proficiency in a range of AWS services, such as EC2, ECS, and VPC.
• Experience with Containers and CI/CD Pipelines.
• Familiarity with GenAI technologies (LLMs, Prompt Engineering).

Mansioni

• Implement end-to-end AI/ML and GenAI projects.
• Design and implement scalable ML solutions and operations using AWS.
• Collaborate with cross-functional teams to operationalize AI/ML models.

Conoscenze

AWS experience

Strong communication skills

Experience building ML pipelines

Knowledge of security and compliance standards

Experience with automation

Experience with MLOps

Strumenti

SageMaker

Terraform

MLFlow

AWS Step Functions

Descrizione del lavoro

Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Services

Job ID: 3052892 | Amazon Web Services, Inc.

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

• Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.
• Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
• Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
• Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
• Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures.
• Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
• Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

This is a customer-facing role with potential travel to customer sites as needed.

Basic Qualifications

No specific qualifications listed.

Preferred Qualifications

• AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
• AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
• Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
• Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
• Strong communication skills with ability to explain complex concepts to technical and non-technical audiences
• Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
• Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.