Experienced Full Stack Data Scientist – Generative AI and Machine Learning Specialist for Amazon Web Services

About the Role:

Are you a highly skilled and motivated data scientist with a passion for generative AI and machine learning? Do you have a strong background in natural language processing, multimodal, and image generation? We are seeking an experienced full stack data scientist to join our team as a Generative AI and Machine Learning Specialist for Amazon Web Services. As a key member of our team, you will play a critical role in assisting clients in designing answers that leverage our Generative AI offerings.

About the Company:

Amazon Web Services (AWS) is a leading cloud computing platform that provides a wide range of services for computing, storage, databases, analytics, machine learning, and more. Our team is dedicated to helping clients leverage the power of AWS to drive innovation and growth in their businesses. As a Generative AI and Machine Learning Specialist, you will work closely with clients, partners, and internal teams to design and implement cutting-edge solutions that drive business value.

Key Responsibilities:

As a Generative AI and Machine Learning Specialist, you will be responsible for:

Customer Advisor:

* Implement and install the latest system learning algorithms under Gen AI * Build prototypes and PoCs, and discover new solutions * Interact closely with our clients and with the academic network

Thought Leadership:

* Evangelize AWS GenAI offerings and share best practices through boards including AWS blogs, white papers, reference architectures, and public-speaking events such as AWS Summit, AWS re: Invent, etc. * Partner with SAS, Sales, Business Development, and the AI/ML Service groups to boost client adoption and provide guidance on their client engagements

Technical Liaison:

* Act as a technical liaison between clients and the AWS SageMaker services groups to provide client-driven product development feedback * Develop and assist an AWS internal network of ML-associated challenges to be counted as professionals worldwide * Create area enablement materials for the wider SA population, to help them understand how to combine Amazon Web Services GenAI solutions into client architectures

Essential Qualifications:

* 2+ years of data scientist experience * 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience * 3+ years of system knowledge/statistical modeling statistics evaluation gear and techniques, and parameters that affect their performance experience * Master's degree in a quantitative field including statistics, mathematics, statistics science, business analytics, economics, finance, engineering, or computer science * 2+ years experience studying and applying big language and generative AI models * Strong background in Natural Language Processing, including experience with text representation, language modeling, sequence-to-sequence architectures, and semantic understanding

Preferred Qualifications:

* Active in the open source network, including HuggingFace, StableDiffusion, etc * Large models pre-train/fine-tuning experience, familiar with distributed training * Customers go through abilities to represent AWS properly in the client's surroundings and pressure discussions with senior employees concerning trade-offs, best practices, and risk mitigation * Demonstrated capacity to think strategically about business, product, and technical challenges in an organization's surroundings * Track record of concept management and innovation around Machine Learning * Experience with LangChain, LLAMAIndex, Foundation version tuning, Data Augmentation, and Performance Evaluation frameworks * Led a cloud initiative as an AWS client or consulting with a client of their own IT transformation

Benefits:

Our benefits can vary by location, the number of often scheduled hours you work, and the length you've worked for us. They also depend on your job status, including seasonal or temporary employment. * With our medical plan options, you can select the right insurance for you and your eligible family members. You can choose from multiple plans, including a health savings account (with employee and company contributions), and more than one network vendor for the best care in your area. * Certain plans provide additional, personalized support for cancer, diabetes, physical therapy, fertility treatment, and family-building services. * Our Employee Assistance Program, certain below, offers mental health support at no cost to you. * You can also sign up for dental and vision plans and a flexible spending account for health and structured care. * 401(k). Our plan helps you to defer repayment on your long-term savings and includes a company match. The plan offers many funding options to help you reach your goals. * Company-paid basic life and accidental death and dismemberment insurance. You can sign up for additional insurance for you and your dependents. * Company-paid short-term and long-term disability insurance. * We provide a number of fully paid maternity and parental leave options for parents before and after the birth or adoption of a child. This includes our Leave Share option. We have a flexible program called Ramp Back to help you when you return to work. Parental leave requires at least 365 days of continuous service through the date of a child's birth or adoption (part-time leaves do not require tenure). * We all need regular time off from work to recharge. You'll earn paid time off in addition to company-paid holidays.

What We Offer:

* Competitive salary * Opportunity to work with a leading cloud computing platform * Collaborative and dynamic work environment * Professional development and growth opportunities * Comprehensive benefits package * Flexible work arrangements

How to Apply:

If this role sounds like a perfect fit, don't hesitate. Apply today and let's build the future together. Apply To This Job Apply for this job