Role OverviewWe are seeking a curious and driven Technical Associate to maintain and deploy applications built with Node.js, Laravel, and Django, while also exploring the exciting frontier of AI model deployment. This role is ideal for someone with a strong technical foundation and a deep interest in learning how modern AI systems are deployed, integrated, and scaled. Key ResponsibilitiesBackend Maintenance & Development· Maintain, update, and debug web applications · Assist in implementing APIs and handling backend logic · Work alongside senior developers to improve performance and scalability Server & Deployment Management· Manage server environments · Monitor application uptime, security patches, and resource utilization · Perform deployments, environment setup (dev/staging/prod), and rollback procedures · Work with Nginx/Apache, PM2, Supervisor, and Docker (if applicable) AI Deployment Support (Training Will Be Provided)· Assist in packaging and deploying AI models · Learn containerization of models · Explore integration of inference APIs into web apps · Gain exposure to GPU/CPU optimization, model versioning, and monitoring Code & System Documentation· Maintain internal technical documentation for backend logic, APIs, server setup and deployment procedures, AI integration workflows from scratch · Keep deployment logs and update configuration records Team Collaboration· Use Git for version control and collaborative development · Participate in team meetings and sprint reviews · Communicate progress, blockers, and ideas clearly Required Skills· Hands-on experience with at least one backend framework: Node.js / Laravel / Django · Comfortable using Linux command-line tools and SSH · Familiarity with Git and basic devops workflows · Strong desire to learn AI deployment, MLOps, and related tooling · Clear written communication and documentation skills · Self-driven with a problem-solving mindset Preferred (Not Mandatory)· Exposure to AI/ML frameworks · Experience with Docker or cloud services (AWS, GCP, Azure) · Interest in MLOps tools like MLflow, FastAPI, Streamlit, or LangChain · Experience working on GitHub/GitLab-based CI/CD pipelines What You’ll Get· Hands-on exposure in AI deployment and backend engineering · Exposure to real-world production systems and live environments · Opportunity to grow into an AI DevOps or full-stack engineering role To ApplyEmail your resume and GitHub/portfolio (if available) to venkit@mylaw.net

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