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Cloud & AI Engineer
IBM
posted 4hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Responsibilities
Back end development with GoLang Expertise in Kubernetes/OpenShift, Cloud service providers. Knowledge of Generative AI, and ability to integrate AI to applications. Ability to pick up new areas based on business requirements Excellent communication skills
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
2+ years of overall experience in backend development. Excellent understanding of system design and best practices. 2+ years of application development with GoLang development. Good level of expertise in Kubernetes or OpenShift, use of Docker/Podman and Cloud service providers. Good level of knowledge of CNI, container native storage. Expertise in Version Control - Git Experience using cloud technologies (AWS/GCP/Azure/IBM Cloud) Experience with Ansible and Shell scripting Proficient in Linux administration. Experience of IaC (Terraform) Expertise in Version Control - Git Design functional DevOps application lifecycle. Good understanding of CICD pipelines such as Jenkins. Should have hands-on in writing and debugging Jenkinsfile Experience using build tools such as Maven, Gradle, Make, Ant Knowledge of AI - Pytorch, TensorFlow, Scikit, Generative AI, and ability to integrate AI functionalities to applications.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
Employment Type: Full Time, Permanent
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AI Engineer salary at IBM
reported by
73
employees
with 1-6
years exp.
₹11
L/yr - ₹43
L/yr
93%
more
than the average AI Engineer Salary in India
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What IBM employees are saying about work life
based on 22k employees
Flexible timing
Monday to Friday
No travel
Day Shift
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