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Design and validate data pipelines and GenAI solutions on Databricks using Python, Spark, and SQL. Manage model risk and data governance, implementing MLOps/LLMOps practices in a hybrid environment.
The Data Scientist will develop AI and machine learning models, including Generative AI solutions, to support Singapore government agencies. The role involves full-stack development, data wrangling, and maintaining AI-powered applications using technologies like Python, AWS, and various LLM frameworks.
Design and build the AI layer for PebbleRoad's document intelligence and workflow products—selecting models, engineering prompts, evaluating output quality, and exposing capabilities via APIs—using AWS, LLMs, OCR, RAG, and vector databases.
The AI Engineer will design and deploy internal AI and GenAI solutions, including RAG and LLM-based pipelines, to support business needs. The role involves collaborating with data science teams to build robust, scalable models using Python, PyTorch, and cloud technologies.
The AI Engineer will design, build, and deploy enterprise-grade Generative AI applications, including RAG solutions and agentic workflows, to support digital transformation. The role involves hands-on development with LLMs, Python, and cloud AI platforms while ensuring system performance, safety, and governance.
The Junior AI Software Engineer will develop Python backend services and APIs to support machine learning and Generative AI applications. The role involves building and integrating LLMs, RAG workflows, and AI agents while ensuring model performance and safety through MLOps practices.
Maersk is seeking an experienced engineer to design and build a scalable, data-intensive platform that powers ML, GenAI, and agentic AI solutions for global supply chain operations. The role involves developing reusable data foundations, production-grade AI pipelines, and robust software architectures using Java, Python, and modern cloud-native technologies.
The Principal Software Engineer will lead a team in developing CRM software solutions for the automotive industry, utilizing C#, React, and advanced AI/LLM technologies. The role involves managing the full product lifecycle, mentoring developers, and integrating AI agents and RAG workflows into production applications.
Hands-on data engineer building production data pipelines and agentic AI components (RAG, tool-calling agents) for clinical and non-clinical data at Lilly, using Python, Spark/PySpark, Databricks, and LLM frameworks in a regulated pharma environment.
Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
Build and maintain Python backend services and APIs for ML and Generative AI applications—including LLM, RAG, and AI agent workflows—deployed into cloud/GCC environments with a focus on Responsible AI controls and production support.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
AI Platform Engineer at DXC Technology in Mexico City designing and building the AI foundation for a next-gen enterprise CPQ platform, using Python, LLMs (Claude/GPT), vector databases, and MCP to transform a legacy application into an AI-native solution.
Build and deploy generative AI features and full-stack apps to modernize Barclays’ platform, using Python/Java, cloud-native tools, and enterprise-grade security.
Builds and deploys AI-driven systems (RAG, agents) for Thomson Reuters’ investigative platform CLEAR, integrating AI into full-stack web apps, APIs, and enterprise workflows for legal/tax/compliance domains.
AI Software Engineer (VP) at NatWest Group in Chennai, working in a permanent feature team to design, build, test, and deploy full-stack software with a strong focus on Python, machine learning frameworks, and Large Language Models.
Data Scientist building real-time, low-latency AI tools using LLMs and NLP to assist call center agents across voice and messaging channels.
Builds AI-powered automation solutions for internal business processes (Finance, HR, Logistics) by designing agentic systems, integrating LLMs/RAG, and deploying scalable production-grade models while ensuring security, governance, and observability.
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are…
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