Delivery Consultant - Machine Learning; GenAI), ProServe EMEA
Listed on 2026-01-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Delivery Consultant - Machine Learning (GenAI), Pro Serve EMEA
Join to apply for the Delivery Consultant - Machine Learning (GenAI), Pro Serve EMEA role at Amazon Web Services (AWS).
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? The AWS Industries Team at AWS helps customers implement Generative AI solutions and realize transformational business opportunities in the most strategic industry verticals. This team of data scientists, engineers, and architects works step‑by‑step with customers to build bespoke solutions that harness the power of generative AI, from ideation and scoping to model selection, fine‑tuning, proof‑of‑concepts and large‑scale production deployment.
Key Responsibilities- Design and implement complex, scalable, and secure AWS solutions tailored to customer needs.
- Collaborate with stakeholders to gather requirements and propose effective migration strategies.
- Provide technical guidance and troubleshooting support throughout project delivery.
- Act as a trusted advisor to customers on industry trends and emerging technologies.
- Share knowledge within the organization through mentoring, training, and creating reusable artifacts.
- 3+ years of AI and ML experience and proficiency with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, MATLAB).
- 3+ years of cloud architecture and implementation experience with a proven track record in designing and developing end‑to‑end Machine Learning and Generative AI solutions, from conception to deployment. Bachelor’s degree (or equivalent experience) in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Knowledge of data modeling principles, statistical analysis methodologies, and the ability to extract meaningful insights from large‑scale datasets.
- AWS experience preferred, with proficiency in services such as Bedrock, Sage Maker, EC2, S3, Lambda, IAM, VPC, Cloud Formation, and AWS Associate level certifications (e.g., Machine Learning Specialty, Machine Learning Engineer Associate, Solutions Architect Professional).
- Experience with automation and scripting (e.g., Terraform, Python); knowledge of security and compliance standards such as HIPAA and GDPR; strong communication skills to explain technical concepts to both technical and non‑technical audiences.
- Experience in developing and optimizing foundation models (LLMs), including fine‑tuning, continuous training, and implementation of AI systems.
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Company: AWS EMEA SARL (Switzerland Branch)
Job : A3127313
Location:
Bern, Berne, Switzerland
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