WI · On-site
$105.50 - $132.20/hr
As a Machine Learning Engineer, you will play a crucial role in developing and deploying ... Experience with cloud computing platforms such as AWS, Azure, or GCP. Benefits Employees (and their ...
WI · On-site
$90 - $130/hr
Utilize cloud platforms such as AWS, Azure, or GCP for model deployment and scalability * Develop APIs and services to expose machine learning functionalities to other applications * Troubleshoot and ...
WI · On-site
$110 - $160/hr
Python, PyTorch, TensorFlow, AWS, GCP, OpenCV #J-18808-Ljbffr
WI · On-site
$110 - $160/hr
Python, PyTorch, TensorFlow, AWS, GCP, OpenCV #J-18808-Ljbffr
$107K - $139K/yr
Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...
$107K - $139K/yr
Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform) * Experience testing ML ...
WI · On-site
$120 - $160/hr
Design end‐to‐end AI and machine learning architectures on AWS, from data ingestion and model ... Stay current with AWS AI and cloud innovations, share knowledge within Capgemini, and coach junior ...
WI · On-site
$100 - $150/hr
We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the ... Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
WI · On-site
$100 - $150/hr
We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the ... Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver ... ML, AWS SageMaker, or equivalent). • Strong mathematical foundations in linear algebra ...
The Applied Machine Learning Engineer II will utilize their machine learning expertise to deliver ... ML, AWS SageMaker, or equivalent). • Strong mathematical foundations in linear algebra ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
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This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... machine learning to solve problems where no established solution exists and deliver first-of-its ... AWS SageMaker, or equivalent). * Strong mathematical foundations in linear algebra, probability ...
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...
WI · On-site
$107 - $261/hr
... machine learning capabilities in healthcare applications. AI & Cloud Engineering * Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP ...
WI · On-site
$107 - $261/hr
... machine learning capabilities in healthcare applications. AI & Cloud Engineering * Design, build, and deploy production-grade LLM and GenAI applications using the full breadth of AWS Bedrock and GCP ...
WI · On-site
$90 - $150/hr
* Develop and deploy analytics, machine learning, natural language processing, and AI solutions ... AWS Services #J-18808-Ljbffr
WI · On-site
$75 - $95/hr
Junior/Medior Full-Stack AI Developer Our client is a Belgian AI technology company developing ... Interest in AI / Machine Learning / LLM environments * Fluent Dutch and professional English What ...
Junior Aws Machine Learning information
What is a junior AWS machine learning engineer?
Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.
What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?
To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.
What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?
Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.
What is the difference between Junior Aws Machine Learning vs Data Scientist?
| Aspect | Junior Aws Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Basic AWS certifications, entry-level ML knowledge | Advanced degrees, certifications like AWS, data analysis skills |
| Work Environment | Cloud platforms, machine learning projects, collaborative teams | Data analysis, modeling, research, cross-functional teams |
| Employer & Industry Usage | Tech companies, startups, cloud service providers | Finance, healthcare, tech, research institutions |
Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.
What are the most commonly searched types of Aws Machine Learning jobs in Wisconsin?
The most popular types of Aws Machine Learning jobs in Wisconsin are:
What are popular job titles related to Junior Aws Machine Learning jobs in Wisconsin?
For Junior Aws Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Junior Aws Machine Learning jobs in Wisconsin look for?
The top searched job categories for Junior Aws Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Junior Aws Machine Learning jobs?
Cities in Wisconsin with the most Junior Aws Machine Learning job openings:
$105.50 - $132.20/hr
Other
Medical, Dental, Vision, Life, Retirement, PTO
Posted 17 days ago
Yum! Brands rating
5.4
Based on 13 frontline employees who took The Breakroom Quiz
Job description
Company Overview
#J-18808-LjbffrYum Brands is a global leader in the fast‑food industry, with a portfolio of renowned brands including KFC, Pizza Hut, Taco Bell, and more. We are dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.
Position OverviewWe are seeking a talented and passionate Machine Learning Engineer to join our dynamic team at Yum Brands. As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations, from customer experience optimization to supply chain management.
Key Responsibilities- Collaborate with cross‑functional teams including data scientists, software engineers, and business stakeholders to identify opportunities for leveraging machine learning techniques to drive business outcomes.
- Design, develop, and deploy scalable machine learning models and algorithms that address business challenges and improve operational efficiency.
- Optimize machine learning models for performance, scalability, and efficiency.
- Build robust data pipelines and infrastructure to support the training and deployment of machine learning models in production environments.
- Work with DevOps teams to automate deployment processes, monitor system performance, and ensure the smooth operation of applications and services in production.
- Stay updated on emerging technologies and industry trends in machine learning, software engineering, and cloud computing, and evaluate their potential impact on our business operations.
- Bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
- Proven experience (4+ years) in developing and deploying in production environments, preferably in the context of real‑world business applications.
- Proficiency in Python with strong software engineering skills and experience in building scalable and maintainable code.
- Proficiency in message queue technologies and services such as Kafka, Pulsar, or RabbitMQ and experience working with real‑time data streaming.
- Experience working with containerization technologies such as Docker and Kubernetes.
- Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a fast‑paced and dynamic environment.
- Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
- Experience with cloud computing platforms such as AWS, Azure, or GCP.
Employees (and their eligible family members) may enroll in medical, dental, vision, legal, and accidental death and dismemberment insurance coverage, as well as FSA/HSA, depending on the enrolled medical plan. Yum! also provides short‑term disability, long‑term disability, and life insurance. Employees may enroll in our 401(k) plan. Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half‑day Fridays year‑round, and 2 paid days for volunteer time each calendar year.
Salary Range: 105,500 - 132,200
Equal Employment OpportunityYum! Brands is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.
What Yum! Brands employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Yum
Sourced by ZipRecruiter
Industry
Traveler accommodation and food services and drinking places
Company size
10,000+ Employees
Headquarters location
Louisville, KY, US