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GenAI/ML and Data Science Delivery Specialist
$138,200 - 239,000
West 9th Street 205, Austin
$138,200 - 239,000
Requirements
Must:
- I possess at least 8 years of experience with cloud-based solutions (AWS or equivalent), as well as expertise in systems, networking, and operating systems.
- I have a minimum of 5 years of experience in hosting and deploying Generative AI/Machine Learning solutions (such as data pre-processing, training, deep learning, fine-tuning, and inferences) or data science experience.
- I have 8 years of experience with coding, data querying languages (like SQL), and scripting languages (such as Python).
- Preferred qualifications include a PhD or Master's degree in Computer Science, or a related technical, mathematical, or scientific field (or equivalent experience).
- I am knowledgeable about the AWS platform and tools or equivalent cloud experience, ideally with proficiency in a broad range of AWS services (including SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2).
- AWS Professional level certifications (like Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) are preferred.
- I have hands-on experience with deep learning methodologies (including CNN, RNN, LSTM, Transformer), machine learning, computer vision, graph neural networks, or distributed training.
- My experience includes data analytics, data engineering, coding, automation, and scripting (using tools like Terraform or Python).
- I possess strong communication skills, capable of explaining technical concepts to both technical and non-technical audiences.
Responsibilities
- As part of my role, I will design, implement, and construct complex, scalable, and secure Generative AI and machine learning applications and models on AWS, customized to meet customer needs.
- I will provide technical guidance and implementation support during the project delivery process, focusing particularly on AWS AI/ML services.
- Collaborating with customer stakeholders is essential; I will gather requirements and propose effective strategies for model training, creation, and deployment.
- I will serve as a trusted advisor, offering insights on industry trends and emerging technologies to our clients.
- Sharing knowledge within my organization will also be a key responsibility, including mentoring, training, and developing reusable artifacts.
Description
At Amazon Web Services (AWS), we are dedicated to fostering diverse experiences. We encourage candidates to apply even if they do not meet all preferred qualifications and skills. We believe that unconventional career paths should not be a barrier to applying. AWS is the world's most comprehensive and widely adopted cloud platform, and we continue to innovate our services. An inclusive team culture is integral to us, and we promote a workplace where learning and curiosity thrive. Our employee-led affinity groups and ongoing events aim to celebrate our differences and encourage each other. We are committed to mentorship and career development, offering numerous resources to help you grow as a professional. Work-life balance is highly valued here; we strive for flexibility to support your success both at work and home. Our compensation reflects labor costs across various US markets, with a base pay range for this position between $138,200 and $239,000 annually. This varies based on numerous factors, including market location, job-related knowledge, skills, and experience. Depending on the position, additional compensation may include equity, sign-on bonuses, and a comprehensive benefits package. We proudly reaffirm our commitment to equal opportunity employment, and we consider qualified applicants with arrest and conviction records in accordance with the Los Angeles County Fair Chance Ordinance. We empower all employees to excel and welcome inquiries regarding workplace accommodations during the hiring process.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
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Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Sperasoft, Bain Magique, Archon Systems Inc, Journey Freight International inc, Puter Technologies Inc., Ontario One Call, HAPLY Robotics Inc. among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.