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Designs and deploys advanced Retrieval-Augmented Generation (RAG) models for clients, optimizing AI-driven applications with retrieval and generation techniques.
Junior research engineer applying generative AI to synthetic data generation for digital pathology and biomedical imaging using PyTorch/TensorFlow in an HPC environment.
Mid-to-senior Data Scientist covering the full ML/AI lifecycle—traditional ML, LLMs, RAG, and agentic AI workflows—deployed on AWS with MLOps practices, for a US insurance-focused company's Belfast hub.
Build predictive models, time-series forecasts, and generative-AI tools to automate sales insights and optimize revenue for AMD’s Sales Operations team using Python, SQL, and ML frameworks.
Designs and sells high-performance server and AI computing solutions for government and finance clients, translating business needs into scalable hardware architectures and technical proposals.
Evaluate AI-generated data science solutions and ML outputs for accuracy and reasoning quality on a part-time hourly contract, using Python, SQL, and statistical modeling expertise.
Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and technical soundness, providing structured expert feedback to improve next-generation AI systems using Python, SQL, and ML frameworks.
Develop production-ready grasping and manipulation algorithms for industrial robots, building a software layer that abstracts robotics complexity into intuitive workflows using C++ and Python.
Software Engineer on the Perception team at Intrinsic (Google's AI robotics group), building and deploying deep learning and 3D computer vision models for industrial robots using frameworks like PyTorch, TensorFlow, or JAX in Python/C++.
Staff Robotics Software Engineer at Intrinsic (Google's AI robotics group) developing and deploying production-ready grasping and manipulation algorithms from research to global deployment, primarily using C++, Python, and applied machine learning.
Designs and leads enterprise-scale AI/ML and Generative AI solutions, focusing on LLMs, RAG architectures, and cloud-based deployments while mentoring teams and ensuring governance.
Manage a team of ML engineers at a fraud detection company, driving innovation in real-time ML fraud models using the Python data stack while staying 30-40% hands-on in the codebase.
Android Software Engineer building AI-integrated native mobile experiences in Kotlin, using Coroutines/Flow for concurrency and connecting to LLM, vision, and speech services via REST/gRPC.
Leads ML/AI operations for GoFundMe’s production systems, ensuring reliability, scalability, and safety of ML pipelines, model serving, and observability infrastructure. Manages a team to optimize ML lifecycle from data to deployment, balancing innovation with operational rigor.
Senior ML Engineer designing and deploying recommendation systems, search algorithms, and full-stack ML pipelines at scale for Tubi's free streaming platform.
Develop open-source ML tools and a flagship product, packaging models into reusable software components and building libraries, pipelines, and APIs for ML researchers. Core tech: Python, TensorFlow, PyTorch, scikit-learn.
ML Engineering Intern on Swiss Re's Data Driven Underwriting team, building ML/AI products and data pipelines for life insurance underwriting using Python/R, TensorFlow/PyTorch, and NLP/LLM technologies.
Design and run tests to ensure AI models are accurate, fair, and secure, using tools like PyTest and TensorFlow Model Analysis.
Develop, fine-tune, and deploy LLMs and ML systems for a B2B SaaS org-chart platform, building RAG pipelines, MCP servers, and Python microservices integrated into the web and cloud stack.
Build and improve machine learning systems for a proprietary trading firm, focusing on infrastructure, model selection, and research workflows using PyTorch, Jax, or TensorFlow.
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