Machine Learning Engineer, Professional Services AWS Industries

3 weeks ago

Indiana PA United States Amazon Full time

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? We help customers implement Generative AI solutions and realize transformational business opportunities.


This is a team that works 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, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. This team provides guidance on 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.


As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers.


Key job responsibilities
  1. Collaborate with ML scientists and engineers to research, design, and develop cutting-edge generative AI algorithms to address real-world challenges.
  2. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership.
  3. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths for generative AI.
  4. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on the AWS platform.
  5. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
  6. Provide customer and market feedback to Product and Engineering teams to help define product direction.

Minimum Requirements
  1. 7+ years of technical specialist, design, and architecture experience.
  2. 5+ years of software development with object-oriented language experience.
  3. 3+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience.
  4. Bachelor’s degree in computer science or equivalent with 8+ years of relevant working experience, or Master’s degree in computer science or equivalent with 5+ years of working experience.
  5. Experience related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
  6. Experience related to AWS services such as SageMaker, EMR, S3, DynamoDB, and EC2.
  7. Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models.

We encourage candidates to apply even if they do not meet all of the qualifications and skills listed in the job description. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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