Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intellig...

Fulltime Ai Machine Learning Deep Learning

$138k - $239k · Senior Fully remote

Apply

About PrePass PrePass® is North America's most trusted weigh station bypass and toll management platform. We’re trans...

Fulltime Remote Machine Learning Deep Learning

Fully remote

Apply

Key Details Compensation: $50–$70/hour Benefits: Medical, Dental, Vision Location: Remote (must be based in the U.S.)...

Ai Machine Learning Data Science Mlops

$145k* · Senior Fully remote

Apply

The role is to join a growing team based in the United States Plano TX, Chicago IL or Purchase NY (preferably in Plan...

Ai Machine Learning Deep Learning Data Science

$106k - $178k* · Senior Fully remote

Apply

The mission of Global Operations (GO) at Meta is to build and run world-class processes at a global scale that minimi...

Ai Machine Learning Data Science Data Engineer

$124k - $176k · Senior Fully remote

Apply

The mission of Global Operations (GO) at Meta is to build and run world-class processes at a global scale that minimi...

Ai Machine Learning Data Science Data Engineer

$124k - $176k · Senior Fully remote

Apply

Senior Data Engineer Push the boundaries of tech. In your sweatpants. We’re looking for an experienced Senior Data En...

Fulltime Remote Machine Learning Data Engineer

$190k - $200k · Senior Fully remote

Apply

We are looking for a Data Engineer to be a founding member of our Data and Analytics team. In this role you will be r...

Data Science Data Engineer Ai Fulltime

$160k - $185k* · Senior Fully remote

Apply

Work Location: Mount Laurel, New Jersey, United States of America Hours: 40 Pay Details: $95,264 - $155,376 USD TD is...

Fulltime Ai Machine Learning Data Science

$95k - $155k · Senior Fully remote

Apply

Must be eligible for a federal security clearance (US Citizen). Must be able to work hybrid onsite in Oak Ridge, TN. ...

Machine Learning Data Science Mlops Generative Ai

Fully remote

Apply

Ai Data Engineer Fulltime

Fully remote

Apply

Work Place Flexibility: Hybrid Legal Entity: Entergy Services, LLC /Purpose We are seeking a Manager, Customer Experi...

Machine Learning Data Science Data Engineer Ai

$121k* · Senior Fully remote

Apply

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence mean...

Fulltime Remote Ai Machine Learning

$62k - $141k · Senior Fully remote

Apply

We are seeking a highly skilled and motivated Senior Engineer to oversee our data engineering initiatives. This role ...

Machine Learning Data Science Data Engineer Ai

$90k - $100k · Senior Fully remote

Apply

Senior Data Engineer Push the boundaries of tech. In your sweatpants. We’re looking for an experienced Senior Data En...

Fulltime Remote Machine Learning Data Engineer

$190k - $200k · Senior Fully remote

Apply

Senior Data Engineer - San Diego, CA, Irvine, CA, Orlando, FL, or Atlanta, GA. Hybrid 3 days/week, Full time M-F 8am-...

Fulltime Data Science Data Engineer Ai

$101k - $161k · Senior Fully remote

Apply

Showing 276–300 of 358 AI roles

1 … 11 13 15

Selected role

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Amazon Web Services Seattle, WA, US

Live

$138k - $239k · Senior Full-time Posted 26 days ago 7 min read

DESCRIPTION

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring.

Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.
Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.

This is a customer-facing role with potential travel to customer sites as needed.

About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.
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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
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.

BASIC QUALIFICATIONS

5+ years cloud architecture and implementation
Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

PREFERRED QUALIFICATIONS

AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, Step Functions, VPC, CloudFormation)
AWS Professional certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines.
Knowledge of common security and compliance standards (e.g., HIPAA, GDPR)
Strong communication skills with ability to explain complex concepts to technical and non-technical audiences with the ability to lead technical teams in customer projects
Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Data Engineer Jobs

Explore AI roles

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Delivery Consultant Senior Machine Learning Engineer AWS Professional Services

Senior Data Scientist

Data Scientist

Data Science Lead

Data Analyst Enterprise Solutions

Data Analyst Enterprise Solutions

Senior Data Engineer

Data Engineer

Data Scientist III US

Business Intelligence BI Developer Analyst

Data Engineer II QuantumBlack AI by McKinsey

Manager Customer Experience Analytics

Data Engineer

Senior Engineer Data

Senior Data Engineer

Senior Data Engineer

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent