Senior Delivery Consultant - GenAI/ML, AWS
Job ID: 2950965 | AWS EMEA SARL (Italy Branch)
Are you interested in working at the forefront of Machine Learning and AI? Do you want to apply Generative AI algorithms to solve real-world problems with significant impact? Machine learning (ML) has been a strategic focus for Amazon since its early days. 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 across key industry verticals. Our team consists of data architects, data scientists, and ML engineers working closely with customers to build solutions that leverage the power of generative AI.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models on AWS tailored to customer needs.
2. Providing technical guidance and support throughout project delivery, focusing on AWS AI/ML services.
3. Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies.
4. Acting as a trusted advisor to customers on industry trends and emerging technologies.
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts.
BASIC QUALIFICATIONS
* 5+ years of experience with cloud-based solutions (AWS or equivalent), systems, networks, and operating systems.
* Bachelor's degree in computer science, engineering, mathematics, or equivalent.
* Experience in software development using object-oriented languages.
* Proven experience in hosting and deploying GenAI/ML solutions in production environments (e.g., training, fine-tuning, inferences).
PREFERRED QUALIFICATIONS
* AWS Professional-level certification.
* Masters or PhD in computer science or related technical, mathematical, or scientific field.
* Strong knowledge of deep learning, machine learning, and statistics.
* Experience with AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2.
* Hands-on experience with deep learning techniques (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
* Excellent communication skills, with the ability to explain complex mathematical concepts to non-experts.
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Posted: Multiple dates in 2025. Please refer to the job posting for the most recent update.
Amazon is committed to equal opportunity and does not discriminate based on protected veteran status, disability, or other legal protections.
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