Key Responsibilities:
Develop and maintain AI models.
Expertise in AI, specifically in deep learning, computer vision, and real-time image processing
Experience with machine learning frameworks (TensorFlow, PyTorch) and familiarity with
convolutional neural networks (CNNs), and generative models like GANs, and Transformer
architecture, which are commonly used in medical image analysis.
Algorithms optimization like quantization, pruning, distillation, and factorization
Continuously improves code quality and work methodologies by interfacing with peers/cross-
functional groups and analyzing activities to improve workflow and work processes.
Willing to adopt new architecture, programming language and practices based on company future
goal.
Continuously looking for better code, design, and open to feedback.
Requirements:
Experience: 6+ years of strong experience in AI model development.
Experience in Qt, C/C++, Gstreamer
Expertise in AI, specifically in deep learning, computer vision, and real-time image processing.
Experience with machine learning frameworks (TensorFlow, PyTorch) and familiarity with
convolutional neural networks (CNNs), and generative models like GANs, and Transformer
architecture, which are commonly used in medical image analysis.
Experience leveraging, fine-tuning, and deploying open-source [github, huggingface] ML models
in ML domains including computer vision, audio, language
Experience in optimization algorithms like quantization, pruning, distillation, and factorization
Experience in Edge-AI optimizations like OpenVINO, NvidiaTensorRT
Working knowledge in 3D image visualization, OpenGL/DirectX/Python.
Strong understanding of software engineering principles.
Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker,
Kubernetes).
Experience with data preprocessing, augmentation, and working with large-scale datasets.
Experience in python training ML models on large datasets
Experience interpreting training results (training loss, validation loss) and other metrics to ensure
high accuracy and prevent overfitting
Excellent problem-solving, project management, and leadership skills.
Responsibilities
Key Responsibilities:
Develop and maintain AI models.
Expertise in AI, specifically in deep learning, computer vision, and real-time image processing
Experience with machine learning frameworks (TensorFlow, PyTorch) and familiarity with
convolutional neural networks (CNNs), and generative models like GANs, and Transformer
architecture, which are commonly used in medical image analysis.
Algorithms optimization like quantization, pruning, distillation, and factorization
Continuously improves code quality and work methodologies by interfacing with peers/cross-
functional groups and analyzing activities to improve workflow and work processes.
Willing to adopt new architecture, programming language and practices based on company future
goal.
Continuously looking for better code, design, and open to feedback.
Requirements:
Experience: 6+ years of strong experience in AI model development.
Experience in Qt, C/C++, Gstreamer
Expertise in AI, specifically in deep learning, computer vision, and real-time image processing.
Experience with machine learning frameworks (TensorFlow, PyTorch) and familiarity with
convolutional neural networks (CNNs), and generative models like GANs, and Transformer
architecture, which are commonly used in medical image analysis.
Experience leveraging, fine-tuning, and deploying open-source [github, huggingface] ML models
in ML domains including computer vision, audio, language
Experience in optimization algorithms like quantization, pruning, distillation, and factorization
Experience in Edge-AI optimizations like OpenVINO, NvidiaTensorRT
Working knowledge in 3D image visualization, OpenGL/DirectX/Python.
Strong understanding of software engineering principles.
Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker,
Kubernetes).
Experience with data preprocessing, augmentation, and working with large-scale datasets.
Experience in python training ML models on large datasets
Experience interpreting training results (training loss, validation loss) and other metrics to ensure
high accuracy and prevent overfitting
Excellent problem-solving, project management, and leadership skills.
Salary : Rs. 2,50,000.0 - Rs. 3,50,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Design, build, manage and operate infrastructure and configuration of all platform environments with a focus on automation and infrastructure as code.
• Design, build, manage and operate the infrastructure as a service layer (hosted and cloud-based platforms) that supports the different platform services.
• Develop a log analytics solution to provide logging-as-a-service to hosted applications based on open-source solutions, to speed up the debugging process.
• Evaluate performance trends and expected changes in demand and capacity and establish the appropriate scalability plans.
• Identify and troubleshoot any availability and performance issues at multiple layers of deployment, from hardware, operating environment, network and application.
• Recommend and maintain technology related policies and procedures.
• Identify and suggest various opportunities to improve efficiency and functionality.
• Implement data security and protection.
Kubernetes:
• Administrating services status in Kubernetes Master and Minions
• Administrating Pods, Docker images, services, replication controller
• Scaling/Descaling Pods
• Administrating configuration changes in the Kubernetes files
• Microservices Deployment
• Troubleshooting issues encountered during deployment
• Provide Support to L1 & L2 team in creating RCAs & resolving issues & in completing daily assigned activities including the training
• Provide on-call support
• Good knowledge in shell scripting
• Conforming to client compliances and expectations
• Istio or Service Mesh knowledge would be a plus.
•
Certifications (Good to have any one of the following)
Docker and Kubernetes / EKS / AKS Certified – Professional
Profile
BE/B.Tech/MCA or equivalent
Specific Context
Opportunity to work in a critical banking environment that needs quick response and ability to resolve issues under pressure.
"- Global Partners
- Application Development Teams
- Application Support Teams
- ISMs
Project Managers"
• Should have minimum 2-4 years’ working experience in Docker/K8s and certified as Kubernetes administrator.
• Preferably from a Linux Systems Admin or DevOps Engineering background.
• The candidates must have experience in larger cluster administration.
• Monitor system events to ensure health, maximum system availability and service quality
• Manage the container platform ecosystem (installation, upgrade, patching, monitoring)
• Troubleshoot complex technical issues and assist development team as necessary to resolve issues related to K8s.
• Have experience to Perform system & application patching
• Provide on call support
• Answer user’s query and service requests
• Solid experience in K8s Application troubleshooting
• Should have the basic knowledge about the CI/CD process
• Should have knowledge in Python programming
• Good to have knowledge in Ansible
Responsibilities
Design, build, manage and operate infrastructure and configuration of all platform environments with a focus on automation and infrastructure as code.
• Design, build, manage and operate the infrastructure as a service layer (hosted and cloud-based platforms) that supports the different platform services.
• Develop a log analytics solution to provide logging-as-a-service to hosted applications based on open-source solutions, to speed up the debugging process.
• Evaluate performance trends and expected changes in demand and capacity and establish the appropriate scalability plans.
• Identify and troubleshoot any availability and performance issues at multiple layers of deployment, from hardware, operating environment, network and application.
• Recommend and maintain technology related policies and procedures.
• Identify and suggest various opportunities to improve efficiency and functionality.
• Implement data security and protection.
Kubernetes:
• Administrating services status in Kubernetes Master and Minions
• Administrating Pods, Docker images, services, replication controller
• Scaling/Descaling Pods
• Administrating configuration changes in the Kubernetes files
• Microservices Deployment
• Troubleshooting issues encountered during deployment
• Provide Support to L1 & L2 team in creating RCAs & resolving issues & in completing daily assigned activities including the training
• Provide on-call support
• Good knowledge in shell scripting
• Conforming to client compliances and expectations
• Istio or Service Mesh knowledge would be a plus.
•
Certifications (Good to have any one of the following)
Docker and Kubernetes / EKS / AKS Certified – Professional
Profile
BE/B.Tech/MCA or equivalent
Specific Context
Opportunity to work in a critical banking environment that needs quick response and ability to resolve issues under pressure.
"- Global Partners
- Application Development Teams
- Application Support Teams
- ISMs
Project Managers"
• Should have minimum 2-4 years’ working experience in Docker/K8s and certified as Kubernetes administrator.
• Preferably from a Linux Systems Admin or DevOps Engineering background.
• The candidates must have experience in larger cluster administration.
• Monitor system events to ensure health, maximum system availability and service quality
• Manage the container platform ecosystem (installation, upgrade, patching, monitoring)
• Troubleshoot complex technical issues and assist development team as necessary to resolve issues related to K8s.
• Have experience to Perform system & application patching
• Provide on call support
• Answer user’s query and service requests
• Solid experience in K8s Application troubleshooting
• Should have the basic knowledge about the CI/CD process
• Should have knowledge in Python programming
• Good to have knowledge in Ansible
Salary : Rs. 9,00,000.0 - Rs. 12,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role :Software Engineer - Docker + Kubernetes Admin
