Sr. Software Engineer
•Today
| Estimated Pay info | Based on similar jobs in your market$60 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Alpharetta, GA 30004 Alpharetta, Georgia open_in_new |
About this job
Job Description
Job Description
Job Title: Platform/DevOps Engineer
We are seeking a highly skilled Platform/DevOps Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, implementing, and maintaining scalable and efficient platforms that support AI/ML/DL applications. This role requires a deep understanding of DevOps practices and tools, as well as a passion for leveraging cutting edge technologies to drive innovation.
Responsibilities:
Design, implement, and manage CI/CD pipelines for AI/ML/DL applications.
Collaborate with data scientists and software engineers to optimize model deployment and performance.
Monitor and maintain platform health, ensuring high availability and reliability.
Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools.
Implement security best practices in the deployment of AI/ML/DL solutions.
Conduct performance tuning and optimization of AI/ML/DL models in production.
Stay updated with the latest trends and technologies in AI/ML/DL and DevOps.
Provide technical guidance and support to team members and stakeholders.
Mandatory Skills:
Strong knowledge of AI, ML, and DL concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn).
Proficiency in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Git).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
Solid understanding of scripting languages (e.g., Python, Bash) for automation.
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Preferred Skills:
Familiarity with data engineering concepts and tools (e.g., Apache Spark, Kafka).
Experience with MLOps practices and tools.
Knowledge of database technologies (e.g., SQL, NoSQL).
Understanding of Agile methodologies and project management tools.
Experience in a contractor role or working in a remote environment.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
5 7 years of experience in Platform/DevOps engineering with a focus on AI/ML/DL.
Strong problem solving skills and the ability to work independently.
Excellent communication and collaboration skills.
If you are a passionate Platform/DevOps Engineer with a strong foundation in AI/ML/DL and are looking for an exciting opportunity to work remotely, we encourage you to apply.
We are seeking a highly skilled Platform/DevOps Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, implementing, and maintaining scalable and efficient platforms that support AI/ML/DL applications. This role requires a deep understanding of DevOps practices and tools, as well as a passion for leveraging cutting edge technologies to drive innovation.
Responsibilities:
Design, implement, and manage CI/CD pipelines for AI/ML/DL applications.
Collaborate with data scientists and software engineers to optimize model deployment and performance.
Monitor and maintain platform health, ensuring high availability and reliability.
Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools.
Implement security best practices in the deployment of AI/ML/DL solutions.
Conduct performance tuning and optimization of AI/ML/DL models in production.
Stay updated with the latest trends and technologies in AI/ML/DL and DevOps.
Provide technical guidance and support to team members and stakeholders.
Mandatory Skills:
Strong knowledge of AI, ML, and DL concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn).
Proficiency in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Git).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.
Solid understanding of scripting languages (e.g., Python, Bash) for automation.
Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
Preferred Skills:
Familiarity with data engineering concepts and tools (e.g., Apache Spark, Kafka).
Experience with MLOps practices and tools.
Knowledge of database technologies (e.g., SQL, NoSQL).
Understanding of Agile methodologies and project management tools.
Experience in a contractor role or working in a remote environment.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
5 7 years of experience in Platform/DevOps engineering with a focus on AI/ML/DL.
Strong problem solving skills and the ability to work independently.
Excellent communication and collaboration skills.
If you are a passionate Platform/DevOps Engineer with a strong foundation in AI/ML/DL and are looking for an exciting opportunity to work remotely, we encourage you to apply.
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1309847314 Posted: 2026-10-30 Job Title: Senior Software Engineer