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Design and deploy AI models in Python/TensorFlow/PyTorch to solve business problems, then integrate them into production systems and monitor performance.
Build and maintain data pipelines and ETL processes using Python, Flask, and ORMs like SQLAlchemy to support analytics and ML workflows.
Build and deploy computer-vision models for ID verification and facial recognition to automate compliance and onboarding in a global fintech app.
Design and implement generative AI solutions for enterprise customers, collaborating with teams to research cutting-edge models and optimize business outcomes using AWS tools.
Senior Data Scientist builds and deploys AI models—including LLMs and computer vision—to optimize oil production workflows using Python, PyTorch, and cloud GPUs.
Senior back-end engineer building scalable RegTech and compliance automation using Python/Django, ElasticSearch, and AI-driven tools to streamline maritime trade counterparty onboarding and risk assessment.
Build and optimize high-performance inference APIs and ML features for generative AI models running on custom hardware using Python, PyTorch, and C++.
Build and optimize high-performance inference APIs and tools for generative AI models using Python, PyTorch, and C++ on Cerebras’ custom hardware.
Build and operate sovereign AI infrastructure for government clients, deploying GPU clusters in air-gapped data centers and cloud (Azure/GCP) using Kubernetes, GitOps, and offline artifact pipelines.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Design and build ML models for agricultural technology products, collaborating with data scientists and engineers to deploy solutions.
Develops and optimizes computer-vision models (object detection, segmentation) using OpenCV, PyTorch, and YOLO for real-time applications in an office setting.
Design and deploy machine-learning models to power business innovation, using Python and frameworks like TensorFlow or PyTorch.
Build, test, and deploy AI/ML models; preprocess data and help fine-tune models for Translation Empire’s AI-driven applications.
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Build Python/C++ frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, profiling and optimizing performance-critical code.
Design and build ML models, optimize them for performance, and collaborate with data scientists and engineers to solve business problems using Python or R.
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Builds and tests AI/ML models, preprocesses data, and helps deploy AI-driven features using Python and libraries like scikit-learn.
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