Top 4 Software engineer ii (onsite) Jobs in Celina Tx

Machine Learning Engineer II
Yum! Brands —Plano, TX
- $105,500 - $132,200 a year
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Health savings account
- AD&D insurance
Software Engineer II (Onsite)
Raytheon —McKinney, TX
- $68,900 - $131,100 a year
- Full-time
- Data analysis skills
- Mid-level
- Linux
- Paid holidays
- Disability insurance
9d
Software Engineer II - Embedded Software (Onsite)
Raytheon —McKinney, TX
- $68,900 - $131,100 a year
- Full-time
- Software troubleshooting
- Mid-level
- APIs
- Paid holidays
- Disability insurance

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Machine Learning Engineer II

Yum! Brands -
Plano, TX

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Job Details

$105,500 - $132,200 a year

Benefits

Health savings account
AD&D insurance
Paid holidays
Disability insurance
Health insurance
Dental insurance
Flexible spending account
Vision insurance
Life insurance
Paid sick time

Qualifications

Containerization systems
Software engineering
Business analysis
Application deployment
Scalable systems
Production systems
Scalability
System deployment
Business requirements
Stream Processing
Python
Cross-functional communication

Full Job Description

Hybrid onsite requirement in either Plano, TX - Irvine, CA - Louisville, KY

Company Overview:

Yum 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're dedicated to providing delicious, convenient, and innovative food experiences to our customers worldwide.

Position Overview:

We 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.

Qualifications:

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 like 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.

Nice to Have:

Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.
Experience with cloud computing platforms such as AWS, Azure, or GCP.
Experience with version control systems, such as Git.

Salary Range: 105,500 - 132,200

Benefits: Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on 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.

At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC (“YRSG”) and Yum Connect, LLC (“Yum Digital and Technology”)(collectively, “Yum”) 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.

US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and supplement and the Pay Transparency Policy Statement.

Apply Now

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software engineer ii (onsite) jobs in celina tx

Machine Learning Engineer II

Software Engineer II (Onsite)

Software Engineer II - Embedded Software (Onsite)

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