Exceptional Engineer
Develop and optimize core developer infrastructure for an open-source observability platform. Take full ownership of finding, scoping, and solving complex technical problems to scale the system for millions of users.
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Develop and optimize core developer infrastructure for an open-source observability platform. Take full ownership of finding, scoping, and solving complex technical problems to scale the system for millions of users.
Build and scale the alerting module, ensuring reliability for thousands of concurrent alerts. Design and implement APIs, services, and core backend components in Go while integrating with tools like JIRA and incident.io.
Design, develop, and maintain scalable, AI-enabled enterprise applications using a full-stack Microsoft technology stack. The role involves modernizing legacy systems and building secure REST APIs while collaborating with QA and DevOps teams.
Co-develop innovative software and AI-driven products from conceptualization through launch and scaling. Design scalable architectures and build production-grade platforms while providing technical leadership and product direction.
The Customer Quality Engineer serves as the primary quality contact for customers in the Chennai region, managing complaints and driving corrective actions. They collaborate with global and local cross-functional teams to ensure zero-defect targets and prevent disruptions to assembly operations.
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The candidate will program and validate complex datasets, SDTMs, and non-efficacy outputs for oncology studies. They will also lead programming teams, develop standard macro libraries, and ensure compliance with SOPs and regulatory requirements.
Responsible for the administration, configuration, and optimization of the Coveo search platform to ensure high search relevance and discoverability. The role involves managing query pipelines, merchandising rules, and collaborating with cross-functional teams to align search behavior with business goals.
The role involves providing statistical expertise and scientific leadership for pharmaceutical studies in areas such as oncology, GI, neuroscience, or infectious diseases. Responsibilities include managing compliance, quality, governance, and people development.
Design, develop, and maintain scalable Python code and RESTful APIs while collaborating with cross-functional teams. The role involves optimizing applications for speed and conducting code reviews to ensure software reliability.
Develop and maintain dynamic web applications using Angular while collaborating with UX/UI designers to implement engaging interfaces. The role involves optimizing application performance, conducting code reviews, and mentoring junior developers.
Design and develop AI/ML and Generative AI solutions, focusing on LLM deployment and end-to-end data pipelines. Integrate AI services into applications via APIs and optimize models for performance, latency, and cost.
Design, build, and maintain secure, scalable integrations between Darwinbox and external platforms like ADP, Netsuite, and Snowflake. Ensure clean data flow, schema governance, and operational continuity across the People Technology ecosystem.
Design, develop, and deploy scalable Generative AI solutions, including LLM-powered pipelines, AI agents, and RAG architectures. Collaborate with cross-functional teams to integrate these AI capabilities into production-ready systems and automated workflows.
The role involves improving advanced AI systems by evaluating outputs, refining logic, and developing verifiable performance rubrics. You will also refactor code, optimize system behavior, and test for vulnerabilities to enhance AI-generated code quality.
Manage and track accounts receivable for multiple clients to ensure timely payments and accurate financial records. Conduct regular follow-ups with clients and collaborate with the finance team to resolve payment discrepancies.
Design and develop scalable backend components and microservices using .NET and C#. Integrate AI capabilities and AI-assisted development tools into application workflows and the SDLC process.
Establish and enforce security standards for internally developed software, automation, and AI-enabled solutions. Lead secure design reviews and integrate security tooling into CI/CD pipelines to ensure compliance and risk mitigation.
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Own the end-to-end evaluation and benchmarking infrastructure to drive model improvements for industry-specific foundation models. Lead post-training pipelines including SFT, RLHF, and DPO to enhance model capabilities and alignment.
Execute end-to-end customer design briefs using the Raspberry AI platform to create production-ready visual assets for fashion brands. Collaborate with US-based teams to translate creative direction into precise AI prompts and maintain high quality control on deliverables.
The QA Engineer is responsible for designing and executing automated test suites across UI, API, and integration layers while integrating AI tools for efficiency. They collaborate with cross-functional teams to identify quality risks early in the development lifecycle and monitor production quality gates.
Design, deploy, and manage global enterprise networking infrastructure including WAN/SDWAN, SASE, and load balancing. Maintain security applications and provide technical support for firewalls, VPNs, and connectivity issues.
Design and develop end-to-end business intelligence solutions and interactive dashboards using Power BI to transform raw data into actionable insights. Lead client discussions to define KPIs and measurement frameworks while mentoring junior BI analysts.
Design, train, and productionize deep learning models for speech, audio, and computer vision domains. Own the end-to-end lifecycle from dataset curation and architecture design to deployment and performance monitoring.
Develop and deploy prototypes and production-ready solutions for emerging technologies within Twilio's incubation team. Collaborate with cross-functional partners to experiment with AI and machine learning to shape future product offerings.
Own and evolve the web UI and cloud portal to improve the end-to-end user journey from onboarding to pipeline operation. Collaborate across the stack to translate complex technical workflows into polished, intuitive interfaces.
Lead and deliver SDTM mapping and conversion activities for Real-World Data to CDISC standards. Act as a Subject Matter Expert to develop ECRT packages and collaborate cross-functionally to ensure quality delivery.
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Lead studies and manage sponsor systems by programming and validating complex datasets and SDTMs. Act as a lead programmer across multiple studies, ensuring quality delivery and coordinating with statisticians and project managers.
Analyze language-learning data and provide qualitative feedback to improve AI teaching methodologies and conversational flow. Synthesize pedagogical insights into structured reports to align the AI's approach with professional fluency goals.
Develop and deploy AI solutions ranging from classical machine learning models to advanced Generative AI and multi-agent systems. Own the end-to-end data science lifecycle, including problem framing, experimentation, production deployment, and monitoring.
Develop and maintain Salesforce solutions using Apex, LWC, and Service Cloud within the Real Estate domain. Focus on application performance tuning and implementing best practices for web engineering and backend tools.
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