Senior Python Engineer
Rapidly prototype and iterate on backend solutions and Proof of Concepts to validate AI use cases. Collaborate with multidisciplinary teams to integrate AI/ML models into scalable, secure AWS-based systems.
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Rapidly prototype and iterate on backend solutions and Proof of Concepts to validate AI use cases. Collaborate with multidisciplinary teams to integrate AI/ML models into scalable, secure AWS-based systems.
Develop and implement fast proof-of-concept LLM automations, agents, and multimodal VLM solutions for complex document processing. Collaborate with cross-functional teams to design scalable prototypes and ensure high-quality delivery through CI/CD practices.
Lead the design, implementation, and optimization of secure and scalable cloud-native data platforms for managed services clients. Collaborate with cross-functional teams and stakeholders to align platform strategies with business goals and maximize ROI.
Build, maintain, and optimize responsive WordPress websites and landing pages using various page builders and custom code. Manage hosting environments, troubleshoot technical issues, and handle WooCommerce store configurations and third-party integrations.
Lead workshops and assess team workflows to help enterprise customers adopt Miro and improve collaboration. Partner with stakeholders to align tool value with organizational goals and implement scalable governance models.
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The role focuses on mapping and redesigning end-to-end property management workflows from field capture to final reporting. You will create detailed logic, branches, and annotated specs for engineering to ensure seamless product behavior and offline functionality.
The role focuses on building, maintaining, and optimizing scalable data pipelines and architectures to power business-critical analytics. It involves collaborating with Data Science and Ops teams to ensure data quality and enable self-service analytics.
Support the Engineering team in regulatory research, licensing analysis, and the preparation of client deliverables. Organize regulatory knowledge into structured modules and review AI-generated outputs for factual consistency and traceability.
The role involves analyzing regulatory frameworks to support licensing projects and ensuring the accuracy of AI-generated compliance deliverables. You will collaborate with Engineering to create reusable compliance workflows and knowledge assets.
Lead the functional design, configuration, and implementation of Microsoft Dynamics 365 Supply Chain Management solutions. Analyze business processes to optimize manufacturing, warehouse, and procurement operations aligned with industry best practices.
Design and develop customer-facing technical content, including course modules, installation instructions, and in-product guidance for networking products. Collaborate with stakeholders and lead technical documentation projects to simplify customer onboarding and product usage.
Review AI-generated lexical transcripts and convert them into natural, readable text by applying punctuation and formatting rules. Ensure all original words are preserved while using reference audio only when necessary to resolve formatting issues.
The role involves researching market requirements to define features for next-generation voltage regulators and collaborating with engineering teams to create evaluation boards and datasheets. The TME will also provide technical support to customers through schematic and layout integration reviews.
Develop, enhance, and operate data models in SAP BW/4HANA for market communication and master data reporting. Translate business requirements into technical designs and implement solutions using ABAP and SQL.
Review, evaluate, and annotate AI-generated content across text, images, audio, and video to ensure accuracy and compliance. Contribute to the development of high-quality datasets and provide feedback to improve annotation guidelines.
Define and lead the AI vision, architecture, and strategy for hyperspectral Earth observation and autonomous sensing systems. Build and mentor a high-performing team of AI scientists and engineers to deliver production-grade operational intelligence.
Drive sales growth for LV and MV electricity distribution solutions by managing relationships with utilities, DISCOMs, and EPC contractors across East India. Responsibilities include lead follow-up, conducting technical presentations, and managing the sales pipeline via CRM.
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Develop, maintain, and support business-critical custom applications and API integrations. Ensure high availability, performance, and security through database optimization and production support.
Develop and publish thought-leadership content regarding AI agents and process automation across YouTube, Instagram, and LinkedIn. Manage and grow the AI community while further developing AI agents for social media content.
Support and improve the company's vulnerability management process through triage, risk assessment, and remediation tracking. Collaborate with engineering teams to integrate security practices into the SDLC and conduct threat modeling for new systems.
Lead the end-to-end delivery of product and platform initiatives, from architectural design to production deployment. Set engineering standards and provide technical mentorship while balancing immediate delivery with long-term scalability.
Lead the design and development of end-to-end reference system stacks for 5G/6G baseband systems. Optimize CPU, GPU, and NIC sub-systems to ensure low-latency and maximum throughput while collaborating with partners and customers.
Provide advanced remote technical support for end-users, focusing on hardware, software, and networking issues within an SLA framework. Manage and administer Microsoft 365 and Azure environments, including user access, licenses, and security configurations.
Develop and maintain upstream k0s projects under the CNCF umbrella and integrate new cloud-native features into Mirantis products. Act as a subject matter expert and evangelist for container technologies within the company and the broader community.
Administer and optimize the Salesforce Sales Cloud environment, focusing on automation via Salesforce Flow and security management. The role involves maintaining data quality, creating business reports, and collaborating with stakeholders to implement system solutions.
Own the reliability and correctness of core data products by managing end-to-end releases and building quality monitoring systems. Partner with commercial teams to design data solutions and perform root cause analysis on data anomalies.
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Design, develop, and operate enterprise data pipelines using Informatica IDMC and Databricks Lakehouse. Migrate PowerCenter workloads to IDMC and maintain integration infrastructure across Azure and AWS environments.
Own and manage all databases underpinning the BSS/OSS/NOC platform, including PostgreSQL clusters and network control layer interfaces. Design and implement bulk data pipelines, disaster recovery frameworks, and data governance policies for compliance and retention.
Drive product strategy, roadmap planning, and execution for Cloud Provider and Hyperscaler segments, focusing on AI networking and infrastructure. Act as a strategic bridge between corporate strategy, R&D engineering, and go-to-market teams to drive customer adoption.
Design and architect financial reporting and compliance solutions for complex sales-compensation environments ensuring adherence to ASC 606 and IFRS 15. Serve as the senior accounting escalation point to guide consultants and partner with product teams to influence compliance-ready enhancements.
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