(Data Entry WFH Remote) Amazon At Home Jobs

(Data Entry WFH Remote) Amazon At Home Jobs

Post Name: Senior Generative AI Data Scientist

Hiring Organization: Amazon

Qualification: Bachelor Degree

Industry: Private

Employment Type: Full-Time

Work Hours: 8

Salary: $36-$60/Hour

Location: New York, USA

DESCRIPTION:

Are you captivated by Generative AI (GenAI)? Do you need to assist in outlining the destiny of Go to Market (GTM) at AWS through the use of generative AI? In this role, you’ll assist our clients in constructing and setting up GenAI-enabled programs with the use of Amazon Bedrock and SageMaker, great track and construct Generative AI fashions, and assist organization clients in leveraging those fashions to strengthen quit programs. You will interact with product proprietors to persuade product routes and assist our client’s faucet into new markets by using GenAI in conjunction with AWS Services. (Data Entry WFH Remote) Amazon At Home Jobs

At Amazon, we’ve been making an investment deeply in synthetic intelligence for over 20 years, and some of the abilities clients experience in our merchandise are pushed through gadget-gaining knowledge. Amazon.com’s tips engine is pushed through gadgets gaining knowledge of (ML), as are the trails that optimize robot selecting routes in our achievement centers. Our delivery chain, forecasting, and potential making plans also are knowledgeable through ML algorithms. Alexa is fueled through Natural Language Understanding and Automated Speech Recognition deep gaining knowledge of; as is Prime Air, and the laptop imaginative and prescient generation in our new retail experience, Amazon Go. We have hundreds of engineers at Amazon dedicated to gadgets gaining knowledge of and deep gaining knowledge of, and it’s a large part of our heritage. (Data Entry WFH Remote) Amazon At Home Jobs

AWS is seeking out a Generative AI Data Scientist, who can be the Subject Matter Expert (SME) for supporting clients in designing answers that leverage our Generative AI offerings. As a part of the Worldwide Specialist Solutions Architecture team, you’ll work intently with different Specialist Machine Learning Architects from numerous geographies to permit big-scale client use instances and force the adoption of Amazon Web Services for ML/AI platforms. You will engage with different Solution Architects inside the discipline, offering steerage on their client engagements, and you may expand white papers, blogs, reference implementations, and displays to permit clients and companions to completely leverage ML/AI on Amazon Web Services. You will even create discipline enablement substances for the wider SA population, to assist them in apprehending the way to combine Amazon Web Services ML answers into client architectures. You force powerful remarks collected from clients, and also you distill and translate those remarks into clean enterprise and technical necessities for product and engineering groups to review. You may also preserve to sponsor the advent of recent merchandise and capabilities from those necessities, running intently with product and engineering groups to decrease necessities waft out of your client’s needs. (Data Entry WFH Remote) Amazon At Home Jobs

You should have deep technical experience running with technology associated with multimodal, picture generation, from version great-track to activate engineering. A robust growing gadget gaining knowledge of history is preferred, similar to experience constructing software and structure design. You can be acquainted with the atmosphere of software program providers inside the AI/ML space and could leverage this know-how to assist Amazon Web Services clients in their choice process.

Candidates should have wonderful conversation capabilities and be very technical, with the potential to affect Amazon Web Services clients to any degree, from government to developer. Previous experience with Amazon Web Services is preferred however now no longer required, furnished you’ve got experience constructing big-scale answers. You get the possibility to work immediately with senior ML engineers and Data Scientists at clients, companions and Amazon Web Services carrier groups, influencing their roadmaps and using innovation. (Data Entry WFH Remote) Amazon At Home Jobs

Key process responsibilities

• Thought Leadership – Evangelize AWS GenAI offerings and percentage first-class practices via boards along with AWS blogs, white papers, reference architectures and public-talking occasions along with AWS Summit, AWS re: Invent, etc.
• Partner with SAs, Sales, Business Development and the AI/ML Service groups to boost client adoption and offer steerage on their client engagements.
• Act as a technical liaison among clients and the AWS SageMaker offerings groups to offer client-pushed product development remarks.
• Develop and help an AWS inner network of ML-associated concern count number specialists worldwide. Create discipline enablement substances for the wider SA population, to assist them in apprehending the way to combine Amazon Web Services GenAI answers into client architectures.
• Customer Advisor- Implement, and set up nation of the artwork gadget gaining knowledge of algorithms below Gen AI. You will construct prototypes, and PoCs, and discover new answers. You will engage intently with our clients and with the educational network. (Data Entry WFH Remote) Amazon At Home Jobs

BASIC QUALIFICATIONS

• 5+ years of records querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software programs (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of records scientist experience
• Experience with statistical fashions e.g. multinomial logistic regression
• Master’s diploma in a quantitative discipline along with statistics, mathematics, records technological know-how, enterprise analytics, economics, finance, engineering, or laptop technological know-how
• Experience discovering and making use of big language and generative AI fashions
• Strong history in Natural Language Processing, which includes experience with textual content representation, language modeling, series-to-series architectures, and semantic understanding
• 3+ years of experience in technical structure, design, deployment and operational degree know-how

(Data Entry WFH Remote) Amazon At Home Jobs

PREFERRED QUALIFICATIONS

• Experience handling records pipelines
• Experience as a frontrunner and mentor on a records technological know-how team
• Active inside the open supply network, along with HuggingFace, StableDiffusion, etc
• Large fashions pre-train/great-tuning experience, acquainted with dispensed training
• Customers go through capabilities to symbolize AWS properly in the client’s surroundings and force discussions with senior employees concerning trade-offs, first-class practices, and chance mitigation. Should be capable of engaging with Chief Data Science Officers, Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, in addition to the human beings inside their organizations.
• Demonstrated potential to assume strategically approximately enterprise, product, and technical demanding situations in an organization’s surroundings. Track report of idea management and innovation around Machine Learning. (Data Entry WFH Remote) Amazon At Home Jobs
• Experience with LangChain, LLAMAIndex, Foundation version tuning, Data Augmentation, and Performance evaluation frameworks
• Led a cloud initiative as an AWS client or consulted with a client of their very own IT transformation.

Amazon is a complete reimbursement company. Depending on the placement offered, equity, sign-on payments, and different styles of reimbursement can be furnished as a part of a complete reimbursement package, similar to a complete variety of medical, financial, and/or different benefits.

How to prepare for an interview in the USA:

Preparing for a job interview in the USA requires several steps to ensure that you present yourself as the best candidate for the position. Here are some tips to help you prepare for your interview:

• Research the company: Research the company thoroughly to understand its values, mission, and culture. This can help you tailor your responses to the company’s specific needs and show that you are a good fit for the organization.
• Review the job description: Review the job description and identify the key skills and qualifications required for the role. This can help you prepare specific examples and stories that demonstrate how you possess these skills and qualifications.
• Prepare your responses: Prepare responses to common interview questions, such as “Tell me about yourself” or “Why are you interested in this role?” Practice your responses with a friend or family member to gain confidence and ensure that your answers are concise and clear.
• Dress appropriately: Dress professionally for the interview. In the USA, it is typical to wear business attire for job interviews, such as a suit or dress.
• Bring a copy of your resume: Bring a copy of your resume, a list of references, and any other relevant documents to the interview.
• Be on time: Plan to arrive at least 15 minutes early to the interview to allow time for unexpected delays.
• Show enthusiasm: Show enthusiasm for the role and the company during the interview. Be engaged, ask questions, and show that you are excited about the opportunity to work for the organization.
• Follow up after the interview: Send a thank-you note or email to the interviewer within 24 hours of the interview. This can help you stand out and demonstrate your professionalism and interest in the role.

By following these tips, you can increase your chances of making a positive impression during your job interview in the USA. (Data Entry WFH Remote) Amazon At Home Jobs

Why Choose the USA For a Job:

There are several reasons why people choose the USA for job opportunities:

• High-quality job opportunities: The United States is home to some of the world’s largest and most successful companies, providing job seekers with access to high-quality job opportunities in various industries.
• Competitive salaries: Wages and salaries in the USA are among the highest in the world, and the cost of living is relatively reasonable. The competitive salaries make it an attractive destination for people looking to build a career and improve their standard of living.
• A diverse workforce: The USA has a diverse workforce, which can provide opportunities for people from all backgrounds and cultures to work and succeed in their chosen fields.
• Professional development: The USA offers excellent opportunities for professional development, such as networking events, training programs, and mentorship programs.
• Innovative work culture: The USA is known for its innovative and creative work culture, which encourages employees to think outside the box, take risks, and come up with new and exciting ideas.
• Work-life balance: Many companies in the USA offer flexible working arrangements, such as telecommuting or flextime, which can help employees achieve a better work-life balance.
• Visa opportunities: The USA offers various visa opportunities for foreign workers, making it relatively easy for qualified professionals to relocate to the country for work.

(Data Entry WFH Remote) Amazon At Home Jobs