4 Job openings found

Why This Role Matters We’re looking for a Principal Engineer to lead the architecture and execution of our GenAI-powered, self-serve marketing platforms. You will work directly with the CEO to shape, build, and scale products that change how marketers interact with data and AI. This is intrapreneurship in action — not ...

Digital Marketing Job Description: Responsibilities and Skills in 2023 By Nikita Duggal Last updated on Aug 22, 2023186433 Table of Contents Growth of Digital Marketing Jobs  The Role of a Digital Marketer Digital Marketing Job Description (Sample) Digital Marketing Specialist Skills The Common Elements of a Digital Marketing Job Description View More The realm of digital marketing is booming with online advertising and marketing ...

Key Responsibilities: Design, build, and maintain secure, scalable, and highly available cloud infrastructure in AWS and Azure. Develop and optimize CI/CD pipelines to enable fast and reliable deployments. Implement Infrastructure as Code (IaC) using tools like Terraform / CloudFormation /Azure ARM Automate deployment, monitoring, and management processes to enhance efficiency. Configure and manage cloud-based networking, security policies, and access controls. Monitor system performance, troubleshoot issues, and optimize cloud environments. Work closely with development, security, and operations teams to integrate best DevOps practices. Ensure compliance with security and regulatory standards. Develop and maintain documentation for cloud architectures, configurations, and processes. Required Skills & Experience: 5+ years of experience in DevOps or Cloud Engineering. Expertise in AWS (EC2, S3, RDS, Lambda, IAM, VPC, Route 53, etc.) and Azure (VMs, AKS, App Services, Azure Functions, Networking, etc.). Strong experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Bicep. Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps. Proficiency in scripting languages like Python, Bash, or PowerShell. Experience with Kubernetes (EKS, AKS) and containerization (Docker). Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK Stack, CloudWatch, and Azure Monitor. Familiarity with configuration management tools like Ansible, Puppet, or Chef. Strong understanding of security best practices in cloud environments. Experience with version control systems like Git. Excellent problem-solving skills and the ability to work in a fast-paced environment.

Key Responsibilities Develop and optimize computer vision models for object detection, segmentation, classification, tracking, OCR, etc. Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment. Implement advanced image processing techniques for feature extraction and image enhancement. Design and train models using CNNs, RNNs, Transformers, Vision Transformers (ViT), GANs, and diffusion ...