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- Tasks: Design and implement cutting-edge GenAI and ML applications on AWS for real-world impact.
- Company: Join Amazon, a pioneer in AI and machine learning, transforming industries with innovative solutions.
- Benefits: Enjoy flexible work options, competitive pay, and a culture that values diversity and inclusion.
- Why this job: Be at the forefront of technology, solving significant challenges while collaborating with top experts.
- Qualifications: 5+ years in cloud solutions, a degree in a relevant field, and experience in deploying GenAI/ML solutions.
- Other info: Amazon prioritises privacy and offers accommodations for diverse needs during the hiring process.
The predicted salary is between 43200 - 72000 £ per year.
Senior Delivery Consultant- GenAI/ML, AWSJob ID: 2950965 | AWS EMEA SARL (Italy Branch)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 responsibilitiesAs 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 artifactsBASIC 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-expertsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.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, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Based on your recent activity, you may be interested in:Location: ES, Community of Madrid, MadridPosted: October 3, 2024 (Updated 15 days ago)Posted: March 26, 2025 (Updated 3 months ago)Posted: March 28, 2025 (Updated 3 months ago)Posted: April 4, 2025 (Updated 29 days ago)Posted: February 11, 2025 (Updated 3 months ago)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr
Senior Delivery Consultant- GenAI/ML, AWS employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Delivery Consultant- GenAI/ML, AWS
✨Tip Number 1
Familiarise yourself with AWS services relevant to GenAI and ML, such as SageMaker and Lambda. Being able to discuss these tools confidently during your interview will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Showcase your experience in deploying ML solutions by preparing specific examples of past projects. Highlighting your hands-on experience with deep learning models or cloud-based solutions will set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest trends in Generative AI and machine learning. Being knowledgeable about recent advancements can help you engage in meaningful discussions with interviewers and position you as a thought leader in the field.
✨Tip Number 4
Prepare to articulate how you can act as a trusted advisor to customers. Think of ways you've successfully collaborated with stakeholders in the past, as this will demonstrate your ability to build relationships and provide valuable insights.
We think you need these skills to ace Senior Delivery Consultant- GenAI/ML, AWS
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Senior Delivery Consultant position. Make sure you understand the key responsibilities and qualifications required, especially around GenAI/ML applications and AWS services.
Tailor Your CV: Customise your CV to highlight relevant experience in cloud-based solutions, software development, and any specific projects involving Generative AI or Machine Learning. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and ML, and how your background makes you a perfect fit for the role. Mention specific experiences where you've successfully implemented similar technologies and how you can contribute to the team.
Showcase Your Technical Skills: In your application, be sure to detail your technical skills, particularly those related to AWS services like SageMaker and Lambda. Provide examples of how you've used these tools in past projects to demonstrate your expertise.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AWS services and how you've implemented GenAI/ML solutions in the past. Highlight specific projects where you designed and deployed applications, focusing on the challenges you faced and how you overcame them.
✨Understand the Business Impact
Demonstrate your understanding of how Generative AI can solve real-world problems. Be ready to discuss industry trends and how your skills can help the company leverage these technologies for transformational business opportunities.
✨Communicate Clearly
Since you'll be working with various stakeholders, it's crucial to convey complex technical concepts in a way that's easy to understand. Practice explaining your work to non-experts, ensuring you can articulate the value of your solutions effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time scenarios. Think about how you would approach gathering requirements from customers or advising them on model training strategies, and be ready to share your thought process.
