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Build and deploy AI/ML models, especially LLMs, in Python to power data-driven business decisions and scalable backend services.
Build and scale real-time AI systems for crypto market intelligence, using LLMs, RAG, and streaming pipelines to turn social signals into actionable trading insights.
Build and own the data infrastructure and MLOps tooling for Neurode’s brain-computer interface, turning raw neural signals into pipeline-ready training data at petabyte scale.
Build cloud-native infrastructure and scalable pipelines to train and deploy large AI models for drug discovery and biomedical research using Python, PyTorch/TensorFlow, and AWS/GCP/Azure.
Build and integrate computer-vision models into client stacks using PyTorch, OpenCV, and Gradio; prototype cutting-edge algorithms and ship them in Datature’s MLOps platform.
Design and deploy AI algorithms for robotics autonomy, integrating perception, planning, and control systems in Python/C++ and ROS/ROS2 for real-world deployments in construction, security, and mining.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy deep-learning models for computer vision, voice, and text to power financial solutions using PyTorch.
Build and improve AI-driven manufacturing and engineering solutions using ML, deep learning, and optimization to solve production challenges.
Design and deploy AI algorithms for robot perception, planning, and control in unstructured environments using Python/C++ and ROS/ROS2.
Build and deploy production-grade AI systems, including agentic workflows, RAG pipelines, and LLM integrations using Python, TensorFlow, and PyTorch.
Build embedded software and AI models for an autonomous tile-grouting robot using ROS2, C++, Python, and computer vision.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while ensuring real-world reliability in construction environments.
Build embedded software and AI models for an autonomous tile-grouting robot using ROS2, C++, Python, and deep learning frameworks like PyTorch.
Build and deploy deep-learning models for computer vision, voice, and text to power AI-driven financial products at a fintech company.
Designs and builds AI/ML models and agentic systems to automate workflows, enhance client engagement, and drive decision-making across retail, marketing, and operations using Python, LLMs, and cloud platforms.
Build and deploy ML systems for TikTok’s monetization, focusing on AI labeling, multimodal content understanding, and agentic workflows to improve ads and live-streaming revenue.
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