Job Title: ML+DevOps Engineer Experience: 5-8 Years Location: Bangalore (Work from Office) Notice Period: Immediate to 30 Days Job Description Key Responsibilities: Design, develop, and maintain infrastructure for ML model training and deployment. Implement and manage Kubernetes clusters for scalable and reliable application deployment. Automate CI/CD pipelines to improve development efficiency and ensure seamless deployment. Collaborate with data scientists and software engineers to integrate ML models into production environments. Monitor system performance, troubleshoot issues, and ensure high availability of services. Key Skills Strong experience in Machine Learning and DevOps practices. Expertise in Kubernetes and container orchestration. Proficiency in CI/CD tools like Jenkins, GitLab CI, etc. Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform, Ansible). Solid understanding of scripting languages (Python, Bash) and version control systems (Git).,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: ML+ DevOps Engineer Job in Knack Consulting
Contact Details:
Company: Knack ConsultingLocation(s): Other Karnataka