Ähnliche Jobs

Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Aws Emea Sarl

Internet, IT

Zürich

  • Art der Anstellung: Vollzeit
  • 86.500 CHF – 130.000 CHF (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Über diesen Job

Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Aws Emea Sarl
Zürich, Switzerland
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Zürich, Switzerland

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Big Data
Computer Programming
Relational Databases
Hadoop
Python
Machine Learning
SQL Databases
PyTorch
Large Language Models
Spark
Deep Learning
Generative AI
Scikit Learn

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? The AWS Industries Team at AWS helps 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 scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.

Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate generative AI algorithms and build ML systems to address real-world challenges

Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production

Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder

Requirements

PhD, or Master's degree and 3+ years of applied research experience or 5+ years of building machine learning models for business application experience Experience with programming in Java, Python or related language Experience with neural deep learning methods and machine learning, * Experience with LLM pre-training, fine-tuning, and evaluations Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general, e.g., DeepSpeed, Nemo-Megatron, PyTorch Lightning.
Science backgrounds demonstrated by degrees in fields such as: Mathematics Statistics Physics (various specializations) Molecular Biology Neuroscience Experience manipulating large datasets using RDBMS or SQL-on-Hadoop technologies, and be familiar with machine learning or statistical libraries like SparkML, scikit-learn, caret, mlr, and MLlib

Benefits & conditions

About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

About the company

Amazon 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.

Gehalts-Prognose

Wir benachrichtigen Dich gern über ähnliche Jobs in Zürich:

Ähnliche Jobs

Senior Economist/Data Scientist

Schweizerische Nationalbank

Zürich + 0 weitere

90.000 CHF152.500 CHF

Senior Economist/Data Scientist

Zürich + 0 weitere

Schweizerische Nationalbank

90.000 CHF152.500 CHF

Senior Data Scientist (m/w/d)

ROCKEN

Cham ZG + 0 weitere

Senior Data Scientist (m/w/d)

Cham ZG + 0 weitere

ROCKEN

Senior Software Engineer, AI/ML, LLM Modeling

Google

Zürich + 0 weitere

88.000 CHF124.000 CHF

Senior Software Engineer, AI/ML, LLM Modeling

Zürich + 0 weitere

Google

88.000 CHF124.000 CHF

Freelance Data & ML Experts at AI Startup

Lightly AG

Zürich + 0 weitere

Freelance Data & ML Experts at AI Startup

Zürich + 0 weitere

Lightly AG

Data Scientist

Spacewise AG

Zürich + 0 weitere

83.500 CHF116.000 CHF

Neu · 

Data Scientist

Zürich + 0 weitere

Spacewise AG

83.500 CHF116.000 CHF

Neu · 

Data Scientist Manager - Zurich Asuransi Indonesia

Zurich Insurance Company Ltd.

Zürich + 0 weitere

88.000 CHF122.500 CHF

Data Scientist Manager - Zurich Asuransi Indonesia

Zürich + 0 weitere

Zurich Insurance Company Ltd.

88.000 CHF122.500 CHF

Manager für Business Intelligence & Data Science

Astrazeneca Ag

Zug + 0 weitere

Manager für Business Intelligence & Data Science

Zug + 0 weitere

Astrazeneca Ag

Principal AI Engineer (Europe-based, remote)

Sherpany by Datasite

Zürich + 0 weitere

111.500 CHF127.500 CHF

Principal AI Engineer (Europe-based, remote)

Zürich + 0 weitere

Sherpany by Datasite

111.500 CHF127.500 CHF

Software Engineer III, AI/ML, Page Quality

Google

Zürich + 0 weitere

83.000 CHF120.000 CHF

Software Engineer III, AI/ML, Page Quality

Zürich + 0 weitere

Google

83.000 CHF120.000 CHF