Cloud Deployment Engineer
Cary, NC · On-site
About the job The SAS Managed Delivery Services team is hiring a Cloud Deployment Engineer. This ... Foster personal growth by mastering current roles, learning new skills through temporary team ...
7 Sas Machine Learning Engineer Jobs Hiring Near You
Cloud Deployment Engineer
Cary, NC · On-site
About the job The SAS Managed Delivery Services team is hiring a Cloud Deployment Engineer. This ... Foster personal growth by mastering current roles, learning new skills through temporary team ...
About the job The SAS Managed Delivery Services team is hiring a Cloud Deployment Engineer. This ... Foster personal growth by mastering current roles, learning new skills through temporary team ...
About the job The SAS Managed Delivery Services team is hiring a Cloud Deployment Engineer. This ... Foster personal growth by mastering current roles, learning new skills through temporary team ...
About the job SAS Global Risk, Fraud and Compliance Practice is currently seeking a Principal ... intelligence/machine learning, cloud architectures, and coverage of digital and crypto risks.
About the job SAS Global Risk, Fraud and Compliance Practice is currently seeking a Principal ... intelligence/machine learning, cloud architectures, and coverage of digital and crypto risks.
About the job SAS Global Risk, Fraud and Compliance Practice is currently seeking a Principal ... intelligence/machine learning, cloud architectures, and coverage of digital and crypto risks.
About the job SAS Global Risk, Fraud and Compliance Practice is currently seeking a Principal ... intelligence/machine learning, cloud architectures, and coverage of digital and crypto risks.
DevOps Engineer
Cary, NC · On-site
$49.25 - $67.50/hr
... deep learning workflows. * Support multi-user, multi-project GPU workloads. Provide customer ... At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people ...
DevOps Engineer
Cary, NC · On-site
$49.25 - $67.50/hr
... deep learning workflows. * Support multi-user, multi-project GPU workloads. Provide customer ... At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people ...
DevOps Engineer
$49.25 - $67.50/hr
Maintain GPU-based infrastructure including optimizing GPU utilization for largescale deep learning ... At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people ...
DevOps Engineer
$49.25 - $67.50/hr
Maintain GPU-based infrastructure including optimizing GPU utilization for largescale deep learning ... At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people ...
Research Statistician Developer
Cary, NC · On-site
... learning new data analysis techniques. * Strong programming skills and experience implementing statistical algorithms. * Experience using R, Python, JSL, Matlab or SAS. * Excellent communication ...
Research Statistician Developer
Cary, NC · On-site
... learning new data analysis techniques. * Strong programming skills and experience implementing statistical algorithms. * Experience using R, Python, JSL, Matlab or SAS. * Excellent communication ...
SAS Jobs Information
What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.
What are some common challenges faced by Machine Learning Engineers when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.
What are Machine Learning Engineers?
Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.
What jobs make $3,000 a month without a degree?
A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
What is the difference between Machine Learning Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related; strong analytical skills |
| Work Environment | Develops scalable ML models, deploys algorithms into production | Analyzes data, builds models, interprets data insights |
| Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research organizations |
While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.
What other companies are hiring for Machine Learning Engineer jobs?
What are the most popular jobs at Sas?
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Job description
Cloud Deployment Engineer- Hybrid | Cary, NC
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The SAS Managed Delivery Services team is hiring a Cloud Deployment Engineer. This role offers a unique and dynamic opportunity to onboard new customers into the SAS Cloud ecosystem, participate in critical upgrade and migration planning, review sales opportunities before contract finalization, and enhance the quality and efficiency of our services.
As a SAS Cloud Deployment Engineer, you will:
Required qualifications
Additional competencies, knowledge and skills
World-class benefits Highlights include...
#LI-CC
You are welcome here.
At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.
SASCLOUD
#SAS
We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers.
If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.
About the job
The SAS Managed Delivery Services team is hiring a Cloud Deployment Engineer. This role offers a unique and dynamic opportunity to onboard new customers into the SAS Cloud ecosystem, participate in critical upgrade and migration planning, review sales opportunities before contract finalization, and enhance the quality and efficiency of our services.
As a SAS Cloud Deployment Engineer, you will:
- Onboard new SAS Cloud customers: Ensure the work scope is clearly defined, requests are within the capabilities of downstream teams, all teams have the necessary resources to execute tasks, and technical roadblocks are mitigated.
- Sales Opportunity Review: Review and approve opportunities before contracts are sent to customers, ensuring that the proposed cloud technologies-such as Kubernetes, cloud storage options, networking integrations, and authentication/authorization mechanisms-align with SAS hosting standards and meet customer requirements.
- Upgrade and Migration Planning: Evaluate and plan upgrades or migrations for hosted SAS environments, ensuring compatibility with the latest software versions and seamless transitions with minimal downtime.
- Work Cost Estimation: Develop comprehensive cost estimates for infrastructure, software, and services, ensuring efficient budget management and accurate project profitability tracking.
- Service Improvement and Development: Continuously enhance core offerings by maintaining documentation, improving tools and processes, and developing new services and capabilities.
- Process Ad-Hoc support requests: Handle tasks via Jira and ServiceNow, such as software order reviews, server decommissioning, and CMDB or documentation updates.
- Professional Development: Foster personal growth by mastering current roles, learning new skills through temporary team rotations, setting personalized development plans, and achieving career goals.
- Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do.
Required qualifications
- US Citizen required.
- 5 years of technical experience including:
- 2 years of experience in consulting, systems support, customer support, or training for enterprise class software.
- 2 years of experience with Linux or Unix supporting enterprise class applications.
- 1 year of experience with containers, container-based applications, and/or container orchestration tools.
- Bachelor's degree in a quantitative field, such as Computer Science, Information Technology, or related field.
- Excellent communication, analytical, and problem-solving skills.
- Equivalent combination of related education, training and experience may be considered in place of the above qualifications.
Additional competencies, knowledge and skills
- Experience with SAS
- Familiarity with cloud-based platforms like MS Azure, AWS
- Experience with Python, Ansible, or Kubernetes
World-class benefits Highlights include...
- Comprehensive medical, prescription, dental and vision plans.
- Medical plan options include:
- PPO with low annual deductible and copays.
- HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
- Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
- An industry-leading 401k plan.
- Tuition Assistance Program and programs and resources to support your development
- Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
- Volunteer Time Off, parental leave and unlimited paid sick days.
- Generous childcare benefits for all full-time employees.
#LI-CC
You are welcome here.
At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
Additional Information:
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights.
Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.
SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.
Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.
SASCLOUD
#SAS
About SAS
Sourced by ZipRecruiter
Industry
Software development
Company size
10,000+ Employees
Headquarters location
Cary, NC, US
Year founded
1976