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Build and improve Oolka’s core AI models and retrieval systems, focusing on LLM post-training, evaluation frameworks, and scalable retrieval/memory layers for a fintech product.
Build and run rigorous evaluations for AI-powered RAN ticket-intelligence systems, measuring accuracy, groundedness, and engineering impact while improving retrieval, classification, and agent workflows.
Build and maintain agentic systems for proposal writing in architecture/engineering, using Python, multi-agent orchestration, MCP servers, and LLM tooling.
Builds and maintains AI-powered healthcare platforms using Python, Next.js, and Azure, focusing on document processing and clinical review workflows.
Build and deploy an AI platform for federal agencies; integrate GenAI features, write full-stack code, and embed with customers for 60-180 days.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Lead a small engineering POD building Java/Spring Boot microservices and integrating AI features (RAG, embeddings, agents) for a global financial-services firm.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
Build and deploy ML models for creative understanding across vision, video, and language, then ship them into Adobe’s products to power insights and recommendations for marketers and creators.
Build and lead the RackAI platform using Go and Kubernetes, designing scalable cloud-native services and embedding AI-driven development tools to set engineering standards.
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Build and maintain AI evaluation frameworks, optimize models for accuracy and latency, and deploy AI solutions while ensuring security and compliance.
Lead a team to design and build enterprise-scale data platforms and AI solutions for finance, including GenAI-driven natural language access, RAG, and agent-based workflows on Snowflake.
Build and maintain the AI platform that powers secure, scalable GenAI and agentic workflows for a fintech company, including orchestration, vector search, LLM interfaces, and observability.
Build and scale AI-driven automation and observability platforms for Visa’s global payment systems using Python, FastAPI, React, Kafka, and AWS services like Bedrock and SageMaker.
Senior Data Scientist builds and deploys AI/ML models and RAG pipelines to analyze marketing data, forecast performance, and optimize campaigns using Python, SQL, and cloud platforms.
Build and optimize scalable data pipelines and generative-AI systems for Amgen’s manufacturing knowledge layers, using PySpark, Databricks, vector stores, and LLMs.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Lead a team building enterprise-scale data platforms and AI solutions for finance, including Snowflake-based data warehouses, GenAI interactions, RAG, and agent workflows to automate reporting and analytics.
Build and deploy cloud-native AI data pipelines, vector databases, and LLM-powered systems to support federal missions like defense and healthcare.
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