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Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
Build deep learning models from scratch (custom transformer architectures) to detect fraud and account sharing at Adobe in Bangalore, owning the full ML lifecycle from feature engineering on Databricks/Spark through large-scale GPU training to production deployment and monitoring.
Machine Learning/AI Scientist PhD Intern at Netflix working on ML research including personalization algorithms, recommender systems, NLP, computer vision, and other ML areas using frameworks like PyTorch and TensorFlow.
Design, build, and operationalize AI-driven solutions including RAG pipelines, enterprise copilots, and agent-based automation frameworks using LLMs, Snowflake, Power BI/Fabric, and Azure AI platforms for the Analytics & Reporting team.
Design, build, and deploy LLM-powered applications—RAG pipelines, enterprise copilots, and agent-based automation frameworks—using Python, Snowflake, Azure AI Foundry, and LangChain on top of enterprise data platforms at a medical technology company in Atlanta.
Hybrid Solution Architect & AI Engineer at Visa's Miami-based VCA Tech Practice, splitting time equally between enterprise architecture consulting (cloud modernization, payment solutions, integration patterns) and hands-on AI engineering (LLMs, RAG, agentic systems) with Python/TypeScript.
Design, build, and deploy LLM-powered applications (RAG pipelines, enterprise copilots, agent-based automation) integrated with Snowflake and Power BI/Fabric at Siemens Healthineers, using Python, LangChain, Azure AI Foundry, and Azure OpenAI.
Design and build cloud-native data platforms and pipelines to power Mastercard’s AI and Generative AI solutions, including feature stores, vector databases, and MLOps workflows.
The Senior AI Engineer will design and implement enterprise-scale AI solutions, including LLM-powered automation, agentic workflows, and RAG systems. The role involves integrating AI into the software development lifecycle and collaborating with cross-functional teams to advance AI governance and technical maturity.
Lead AI Engineer designing and implementing enterprise-scale AI solutions—LLM integration, RAG systems, agentic AI, MCP servers—within RBC's SDLC using .NET/C#, Java, and Python.
The Senior Software Engineer will design, develop, and deploy AI/ML models and pipelines to improve operational efficiency within the aerospace and defense sector. The role involves working with Python, MLOps practices, and generative AI technologies in a hybrid work environment.
This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
The Associate Solution Architect will assist in designing end-to-end enterprise solutions, including cloud-based systems and AI-enabled applications. The role involves translating business requirements into technical designs, creating architecture documentation, and collaborating with engineering teams to ensure security and scalability.
Full-Stack AI Engineer building secure, scalable web applications with React/Next.js, Node.js, and PostgreSQL, integrating LLM/GenAI APIs and leveraging AI coding tools across the full development lifecycle on Singapore's government tech stack.
Design, develop, and deploy AI/ML solutions including RAG systems, LLM integrations, and vector embeddings using Python, React, and cloud platforms at a pharmaceutical company.
Westpac is seeking AI Engineers to build and operationalize secure, production-ready AI applications, agents, and platforms within their banking environment. The role focuses on integrating LLMs, RAG, and ML models while ensuring compliance, safety, and scalability.
Develops and deploys AI/Gen AI solutions for corporate functions, focusing on agentic architectures, prompt engineering, and model integration while ensuring Responsible AI compliance and data governance.
Required Skills and Experience: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 5+ years of experience in data science, building…
The Senior Data Scientist will develop and maintain Generative AI applications using Python, focusing on advanced RAG pipelines and LLM integration. The role involves collaborating with cross-functional teams to implement cutting-edge AI solutions on cloud platforms like AWS and Azure.
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