ML+ DevOps Engineer Job in Knack Consulting

Job Description

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).,

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   Machine Learning DevOps Kubernetes AWS GCP Azure Ansible Python Bash Git