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DevOps and Cloud Engineer

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We are looking for an experienced DevOps and Cloud Engineer to build, automate and operate secure, reliable cloud environments for enterprise software, data and artificial intelligence solutions. You will manage Microsoft Azure infrastructure, Azure Databricks and Microsoft Fabric environments while establishing automated deployment, security, monitoring, backup and recovery practices. You will also own production releases, incident resolution, platform reliability and cloud-cost optimization.

Lead Data Engineer

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We are looking for an experienced Lead Data Engineer to build and operate reliable enterprise data pipelines, lakehouse structures and curated datasets. You will integrate payment feeds, bank receipts, claims and document-extraction outputs into standardized datasets that support reconciliation, predictive models, agreement analysis and operational reporting. You will also own production deployment, monitoring, recovery, performance and operational documentation for the data platform.

Solution Architect

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We are looking for an experienced Solution Architect to design secure, scalable and production-ready enterprise solutions that integrate business applications, data platforms and artificial intelligence capabilities. You will define the end-to-end architecture, integration patterns, data flows and technology choices, primarily using Microsoft Azure, Azure Databricks and Microsoft Fabric. You will guide multiple engineering teams from solution design through implementation and production deployment.

Project Manager

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We are looking for an experienced Project Manager to lead the end-to-end delivery of enterprise software, data and artificial intelligence projects. You will ensure that projects remain aligned with business requirements, agreed timelines, budgets and quality standards while coordinating multidisciplinary teams from planning through production deployment and operational handover.

Technical Support Engineer

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We are looking for a Technical Support Engineer to manage customer deployments, troubleshoot application issues and provide technical support for solutions deployed across enterprise and airport environments. The role involves monitoring production environments, investigating application issues, coordinating with engineering teams and ensuring timely resolution of customer incidents. Depending on experience and assigned responsibilities, the engineer may support L1, L2 or L3 troubleshooting activities.

Machine Learning Engineer — Spatial Intelligence

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We are looking for a technically strong Machine Learning Engineer who has worked across a wide range of machine learning problems rather than one narrow specialization. You will own machine learning models end to end, including framing business problems, cleaning complex sensor data, selecting appropriate algorithms, and deploying models to production. This is a hands-on role involving extensive Python development and live production deployments.

Deep Learning Engineer — AI -Computer Vision

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We want a technically strong deep learning engineer who has put computer vision models / VLMs into real production, on real camera streams. You will own video analytics end to end — building and training models, optimizing them for inference, and running them live against multi-camera deployments. Hands-on role, heavy Python and C++, live systems.

Machine Learning Engineer

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We are looking for a Machine Learning Engineer to build and deploy ML models supporting the Linkfields platform — for example recommendations, demand forecasting or anomaly detection — and to productionize them at scale on AWS.

Intelicore Systems builds enterprise-grade AI products and services. Local teams, global standards — connecting you with the right expertise across India and the USA.

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