Scouterly is hiring an ML Operations Engineer (MLOps) for its AI & Agent Operations Team in Pune, India. The role is for professionals with 4 to 7 years of experience at the P3 / P4 level, focused on traditional machine learning models rather than LLM or GenAI work. You will deploy and retrain models in production, monitor data, feature and concept drift, validate models through champion-challenger testing and backtesting, manage model lineage, versioning and governance records, and handle rollbacks. You will also produce performance and operational reports and work with data engineering teams on data quality, supporting use cases such as churn prediction, fraud detection and forecasting. Required skills include Python, MLOps, CI/CD pipelines, model deployment and monitoring, and drift detection. Telecom domain and cloud ML experience are preferred.

TekWissen Pvt. Ltd. is hiring a Senior ORO Developer, covering both technical and functional work, on a 12-month contract. The role is remote within India, with Bangalore preferred. You need hands-on experience with the ORO Labs procurement intake and orchestration platform, which is mandatory. You will configure and enhance procurement intake forms, workflows, approval rules and routing, manage REST API integrations with procurement, CLM, ERP and identity systems, and troubleshoot workflow failures and integration errors. You will also support SIT/UAT, deployments, release management and production incidents, translate business requirements into solutions, lead vendor knowledge transfer and maintain technical documentation. MuleSoft experience is an advantage.