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Lead Delivery Consultant - Machine Learning Engineer
$138,200 - 239,000
Galleria Road, Dallas
$138,200 - 239,000
Requirements
Must:
- Over 5 years of experience in cloud architecture and implementation.
- A Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent experience.
- More than 8 years of experience leading technical teams with a focus on data, software, or ML engineering, alongside a robust understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design).
- At least 5 years of experience developing predictive modeling, natural language processing, and deep learning, with a proven history of building and deploying ML models on cloud platforms (e.g., Amazon SageMaker or similar).
- A minimum of 5 years of programming experience with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript), alongside proficiency in leading ML libraries and frameworks (e.g., TensorFlow, PyTorch).
Responsibilities
- Lead project teams and execute end-to-end AI/ML and GenAI initiatives, from understanding business requirements to data preparation, model development, deployment, and monitoring.
- Design and implement machine learning pipelines that support high-performance, dependable, scalable, and secure ML workloads.
- Develop scalable ML solutions and operations (MLOps) using AWS services, utilizing GenAI solutions when pertinent.
- Collaborate with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models.
- Serve as a trusted consultant to customers on AI/ML and GenAI solutions and cloud architectures.
- Share insights and best practices within the organization through mentoring, training, and creating reusable artifacts.
- Ensure that solutions meet industry standards and assist customers in advancing their AI/ML, GenAI, and cloud adoption strategies.
Description
We are enthusiastic about building software solutions around advanced Machine Learning (ML) and Artificial Intelligence (AI) systems. Our goal is to assist the largest global enterprises in deriving business value through the adoption and automation of Generative AI (GenAI). We are looking for a talented ML Engineer to join our Amazon Web Services (AWS) Professional Services (ProServe) team as a Delivery Consultant. In this role, you'll collaborate closely with clients to design, implement, and manage AWS AI/ML and GenAI solutions tailored to their technical requirements and business goals. As part of our global team of experts, you'll contribute to helping customers achieve their desired business outcomes using the AWS Cloud. We emphasize inclusivity and diversity within our culture, welcoming individuals from a variety of backgrounds to apply. We are committed to continuous learning and career development, maintaining a work-life balance, and fostering a supportive environment for our employees. Join us at Amazon, where we are redefining the landscape of AI technology and ensuring that our employees flourish both professionally and personally.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 885 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning 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 Machine Learning 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 ML, AI roles in the United States.
The company with most openings is Leidos as they are hiring for 88 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Leidos as they are hiring for 88 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.