Senior AI/ML Engineer (RapidScale)

Company

Cox Communications, Inc.

Job Family Group

Engineering / Product Development

Job Profile

Sr Cloud Engineer

Management Level

Individual Contributor

Flexible Work Option

Can work remotely anywhere in the specified country

Travel %

Yes, 15% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $99,000.00 - $165,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

At RapidScale, exceptional technology is powered by exceptional people. As a growing leader in secure, reliable managed cloud solutions, we help SMBs and enterprises alike simplify IT and unleash innovation. With a broad portfolio spanning AWS, Azure and Google to a full set of Private Cloud and Cybersecurity solutions, RapidScale helps companies turn technology into their biggest competitive advantage.  As part of the Cox family of companies, we offer best-in-class benefits, a commitment to work-life balance, and an award-winning workplace experience. 

We are seeking a highly skilled Senior AI/ML Cloud Engineer to join our innovative team. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions across multiple cloud platforms. You will work on projects that leverage advanced machine learning, deep learning, and large language models to solve complex business problems.

As an Senior AI/ML Cloud Engineer, you will:

• Design and develop AI and machine learning solutions using cloud-based managed AI services.

• Implement and manage robust monitoring systems for AI/ML models in production environments, ensuring continuous performance tracking, anomaly detection, and model drift analysis; collaborate with cross-functional teams to deploy model updates, maintain version control, and optimize model efficiency over time.

• Containerize AI applications and deploy them using cloud orchestration services.

• Collaborate with data engineers and data scientists to build end-to-end AI pipelines.

• Implement MLOps practices to streamline the development, deployment, and monitoring of AI models.

• Use Infrastructure as Code (IaC) to manage and version cloud resources for AI projects.

• Ensure clear and accessible knowledge transfer to internal teams and create knowledge-sharing resources to ensure smooth transitions during model handoffs and system updates.

• Stay up-to-date with the latest advancements in AI and machine learning technologies.

• Contribute to the development of best practices and standards for AI engineering within the organization.

Qualifications

Minimum Requirements

• Bachelor’s degree in a related discipline and 4 years’ experience in Cloud Engineering OR a Master’s degree and 2 years’ experience OR a Ph.D. and up to 1 year of experience OR 8 years’ experience in Cloud Engineering.

• Experience with Python programming language. Experience with transforming legacy code (e.g., Java, .Net) into cloud-native microservices.

• 2 years of experience of managing AI services within one cloud platform (e.g. GCP, Azure, AWS). 

• Experience with container services and orchestration (e.g. GKE, EKS, AKS, ECS, etc.)

• Experience in common machine learning, deep learning, and LLM frameworks, such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, LangChain, LangGraph.

• Experience with Terraform for Infrastructure as Code (IaC).

 Preferred Qualifications

• Experience in a client-facing role.

• In-depth knowledge of data services across major cloud platforms (e.g. GCP, AWS, Azure).

• Professional certifications focus on AI/ML from GCP, AWS, and/or Azure.

• Experience with real-time machine learning and streaming data processing.

Benefits

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

About Us

Cox Communications is all about creating moments of real human connection; and for employees, that’s true both in the workplace and in the problems we solve for customers. From building advertising solutions to unleashing IoT technologies to creating an exceptional experience for customers in our retail locations and online, we’re creating a world that is smarter and more connected. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.