iVedha Inc.

Job Title: Freelance Technical Recruiter / IT Talent Acquisition Company: iVedha Inc. Location: India (Remote) Engagement Type: Freelance / Contract About iVedha: iVedha Inc. is a next-generation digital transformation partner, delivering services in AI/ML, GenAI, Managed Platform Engineering (DevOps, SRE, AIOps, DevSecOps), Cloud Modernization, Cybersecurity, and Data Engineering. We power enterprise outcomes through strategic vendor alliances with AWS, Azure, Salesforce, Databricks, Elastic, Snowflake, and more. Our proprietary Talent Factory model rapidly mobilizes vetted, AI-augmented consultants for global client delivery. Role Overview: We are looking for freelance technical recruiters to join our distributed Talent Acquisition Network and support ongoing hiring needs across cloud, AI, DevOps, and software engineering domains. This role is ideal for independent recruiters, staffing agents, or boutique firms seeking recurring contract placement opportunities in a high-growth environment. Key Responsibilities: Source, screen, and engage IT professionals (cloud engineers, DevOps, AI/ML engineers, data engineers, security consultants, full-stack developers, etc.) Work closely with iVedha’s Talent Factory POD leads to understand project-based consultant needs Manage candidate pipeline using iVedha’s talent systems (e.g., ATS/CRM or spreadsheet tracking) Conduct initial technical and behavioral assessments to validate fit Support offer negotiation and onboarding coordination Participate in weekly pipeline reviews and collaborate with internal teams Key Skills & Experience: 3+ years of experience in technical recruitment (agency or freelance) Strong understanding of IT roles, skills, and certifications across cloud, DevOps, AI/ML, and software development Proven success in sourcing high-quality candidates through LinkedIn, job boards, and referral networks Ability to work in a fast-paced, high-volume recruitment environment Excellent communication and candidate engagement skills Preferred: Experience working with global technical talent (Canada, LATAM, India, Eastern Europe, UAE) Familiarity with freelance/GIG consultant hiring, AI-based recruitment tools, or talent marketplaces Engagement Model & Incentives: Commission-based or milestone-based payments for each successful placement Opportunity to be embedded long-term within iVedha’s Talent Factory ecosystem Access to recurring roles from Fortune 500 and large enterprise clients via iVedha Flexibility to work on your own schedule from anywhere

Overview Seeking a Senior React JS Developer to deliver sophisticated, secure front-end applications for enterprise users in regulated sectors, integrating modern AI/ML capabilities for enhanced user experience and productivity. Key Responsibilities: Design and develop complex React JS front-end applications and reusable components. Integrate with AI/ML-driven APIs (chatbots, recommendation systems) and dashboard analytics. Optimize performance, accessibility, and security—including with AI-powered front-end testing and visual regression platforms. Collaborate with UI/UX, backend, and DevOps teams. Maintain documentation and coding standards, leveraging AI tools for rapid UI prototyping. Core Technical & AI/ML Skills: Expert in JavaScript/TypeScript, React (Hooks, Context, Redux). Modern front-end tooling (Webpack, Babel, Vite). API integration, state management, and testing (Jest, React Testing Library), including AIaugmented testing platforms. Web security best practices (XSS, CSRF, authentication flows), enhanced by AI tools. Familiarity with containerization, CI/CD, and responsive UI/UX frameworks (Tailwind, Material- UI). Practical use of AI-driven code assistants and security scanners for efficient delivery. Soft Skills: Excellent problem-solving, communication, and teamwork. Ability to discuss technical concepts with non-technical stakeholders. Rigorous about documentation, process, and ongoing learning—especially around AI/ML advancements.

Overview: Seeking a highly experienced Cloud Architect to design and oversee robust, scalable, and secure cloud solutions for enterprise environments in oil & gas and other regulated industries (energy, finance, government). Key Responsibilities: Architect end-to-end cloud solutions (public, private, hybrid) with a focus on reliability, security, compliance, and scalability. Lead migration and modernization projects of mission-critical applications. Define cloud governance, access management, and security best practices. Ensure high availability, disaster recovery, and business continuity strategies. Enable and operationalize AI/ML workloads—deploying, scaling, and maintaining data pipelines and model inferencing on the cloud. Collaborate with stakeholders to align cloud strategy with organizational goals. Core Technical & AI/ML Skills: Deep knowledge of at least one leading cloud platform (AWS, Azure, or Google Cloud Platform). Experience with cloud-native AI/ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform), enabling secure integration and operationalization of models. Infrastructure as Code (Terraform, CloudFormation, ARM) and AI-powered IaC generation tools. Cloud security (IAM, encryption, compliance frameworks), including governance for AI/ML pipelines. Application modernization (containers, Kubernetes, serverless architectures). CI/CD, cloud automation, and AI-powered scripting/plugins (e.g., GitHub Copilot). Enterprise networking concepts (VPC, VPN, hybrid connectivity). Monitoring, observability, and cost optimization. Soft Skills: Excellent communication with technical and business stakeholders. Proven leadership and mentoring of cross-functional teams. Strong problem-solving in high-stakes, regulated environments. Proactive in evaluating and introducing AI tools for productivity and process improvement.

Overview: Looking for a Senior Java Developer with enterprise experience in regulated sectors, able to build robust, scalable applications and leverage the latest in AI/ML integration and tooling. Key Responsibilities: Design, develop, and maintain enterprise-grade Java applications. Contribute to architecture, scalability, security, performance, and AI/ML-driven features. Review code for secure practices and facilitate code quality and AI-based review tools. Develop backend integrations with AI/ML APIs or embedded models. Integrate applications with RDBMS/NoSQL databases and messaging systems. Participate in the full SDLC, including CI/CD, and automate with AI code assistants. Core Technical & AI/ML Skills: Advanced Java (Java 11/17+), Spring/Spring Boot frameworks. Microservices (REST, gRPC, event-driven design). Enterprise databases (Oracle, PostgreSQL, SQL Server, MongoDB). CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and AI-driven productivity boosters (GitHub Copilot, Tabnine). Knowledge of security standards (OWASP, JWT, OAuth2). Familiarity with containerization (Docker, Kubernetes). Experience orchestrating ML workflows (backend ingestion, REST endpoint deployment, realtime inferencing). Automation and optimization with AI—anomaly detection, code review, performance enhancement. Soft Skills: Strong communication and teamwork. Adherence to rigorous delivery processes and documentation. Ability to mentor developers and champion AI-enhanced engineering practices. Commitment to continuous learning and improvement.

Overview: Hiring a seasoned DevOps/Platform Engineer to drive automation, platform reliability, and robust software delivery pipelines using both conventional practices and advanced AI/ML techniques in global, regulated enterprises. Key Responsibilities: Design, deploy, and manage CI/CD pipelines and infrastructure automation, leveraging AI for efficiency. Implement infrastructure as code and environment provisioning, including AI-powered script and configuration generation. Monitor and optimize system reliability, availability, and security—using AI/ML for predictive alerts and intelligent scaling. Establish DevSecOps best practices, compliance controls, and MLOps (CI/CD for ML workflows). Troubleshoot complex infrastructure, deployment, and ML model serving issues. Core Technical & AI/ML Skills: Deep experience with IaC tools (Terraform, Ansible, CloudFormation), scripting (Python, Bash), and AI-enhanced automation. Build and maintain CI/CD (Jenkins, GitLab CI, GitHub Actions, ArgoCD). Cloud infrastructure (AWS, Azure, GCP), container orchestration (Kubernetes, Docker). Logging, monitoring, and observability (Prometheus, Grafana, ELK/EFK), including AI-driven log analysis and incident prediction. Experience supporting MLOps: deploying ML workflows, ensuring model traceability and compliance. Use of AI assistants and workflow tools to script, manage incidents, and enforce security policies (OPA, Sentinel). Soft Skills: Influential in driving DevOps culture change. Strong communicator across development, security, and business teams. Mentorship and process rigor, open-minded to AI-driven productivity improvements. High accountability, initiative, and a proactive approach to emerging technologies.