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Build and optimize multilingual AI translation models and MLOps pipelines using AWS SageMaker and containerized workflows to support government mission applications.
Build and maintain ML engineering platforms and pipelines, deploy models to cloud instances, and collaborate with data scientists to optimize workflows using tools like Kubeflow, MLFlow, and Kubernetes.
Build and ship core AI models for insurance risk analysis using deep learning and LLMs, from prototype to production with measurable business impact.
Senior AI/ML engineer building and deploying production-grade models (including LLMs) on AWS using PyTorch, Ray, Docker, Kubernetes, and FastAPI for national security missions.
Builds and deploys LLM/NLP-based AI agents, RAG systems, and GenAI pipelines using Python, FastAPI, and PyTorch for enterprise clients.
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Design and train neural networks for absolute, GNSS-free positioning using vision and inertial sensors, then deploy the models on microcontroller-class hardware for autonomous drones in contested environments.
Build and deploy AI models that power personalized marketing content at scale using deep learning and transformer architectures in Python and PyTorch.
Build ML systems for protein design, using Bayesian optimization and active learning to guide lab experiments and accelerate therapeutic discovery.
Senior AI/ML engineer builds and improves deep-learning models for 3D bone reconstruction from X-rays, integrating the pipeline into a web app for orthopedic surgical planning.
Consultant builds and deploys AI/ML models for defence, security and government clients using Python, TensorFlow/PyTorch and cloud platforms.
ML Engineer builds pipelines to transcribe audio/video, extract entities, and classify content for a fintech company handling cross-border payments.
Machine Learning Engineer at Augur developing advanced computer vision capabilities including scene understanding, object detection, tracking, and 3D reconstruction from edge-deployed sensors. Will evaluate and integrate state-of-the-art research, build efficient inference pipelines, and deploy production-grade CV models using Python, PyTorch, and related technologies.
Build and optimize real-time graphics and ML inference pipelines for interactive visual apps, integrating super-resolution and denoising models into DX12/Vulkan renderers.
NLP engineer working on GigaChat Pro, a bank employee copilot assistant that interacts with clients. Daily tasks include developing LLM/BERT-based models, optimizing pipelines, and testing new AI-driven business solutions to enhance the assistant’s functionality and performance.
Senior ML engineer building internal AI services for Ozon, fine-tuning large multimodal models and retrieval systems to automate company workflows like support and HR.
Builds and maintains Python-based GenAI applications and microservices, integrating AI models with enterprise systems using FastAPI, cloud platforms, and GenAI techniques like RAGs.
Develops advanced AI models (OCR, KYC verification, multimodal LLMs) for document/image processing to scale user onboarding and fraud detection at Grab.
Build and deploy AI agents, ML models, and agentic workflows to automate FPGA testing and development using Python, LLMs, and RAG pipelines.
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