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Architects and deploys scalable GenAI and ML systems for smart manufacturing, focusing on distributed training and robust pipelines in cloud/on-prem environments.
Build AI-driven cybersecurity tools using LLMs and Python to automate threat detection, vulnerability analysis, and compliance workflows for connected devices.
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.
Lead the design and delivery of end-to-end scalable machine learning systems using Python, TensorFlow, and cloud platforms, while mentoring teams and shaping ML strategy for high-stakes client projects.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Lead the development of foundation models for Grab’s marketplace, designing transformer architectures and scalable training pipelines using PyTorch and DeepSpeed.
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Build and deploy deep-learning models for computer vision, voice, and text to power financial solutions using PyTorch.
Build and deploy AI/ML models into production, writing scalable code and collaborating with engineers and stakeholders to deliver enterprise AI solutions.
Build and automate AI model deployment pipelines for a Singapore bank, enabling secure, scalable delivery of LLM solutions across cloud and container platforms.
Build and enhance ML/AI systems to proactively detect fraudulent behavior using Python/Go, databases, and AI frameworks for a global fraud intelligence platform.
Build and deploy production-grade AI systems, including agentic workflows, RAG pipelines, and LLM integrations using Python, TensorFlow, and PyTorch.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and deploy AI/ML pipelines for mobility systems, designing scalable data solutions and analytics dashboards to optimize transport networks and customer experience.
Build and deploy AI-powered applications and integrations for customers, fine-tuning models and optimizing performance for Fireworks AI’s generative AI inference platform.
Develop AI and computer vision systems to analyze aviation data, build scalable pipelines, and deliver actionable insights for flight avionics operations.
Build and deploy AI-powered software solutions, integrating ML models (PyTorch/TensorFlow) with full-stack development in Python and cloud platforms like Azure.
Build and deploy large language models, create data pipelines, and integrate AI into products for a tech-focused energy services company.
Develop AI/ML models and algorithms with a Singapore-based tech team, building and refining data-driven solutions using Python.
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