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Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic apps, RAG chatbots, and document-processing systems.
Design and deploy AI models (LLMs, CV, Agentic AI) from research to production APIs, build RAG pipelines, and integrate solutions with core systems.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Build and scale distributed training infrastructure for large-scale AI avatar models, optimizing GPU clusters, parallelism, and multimodal data pipelines for real-time, full-duplex training.
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.
Build and maintain AI-powered cybersecurity back-end components, APIs, and cloud integrations using Python, Java, Go, and cloud tools for government clients.
Builds full-stack cybersecurity tools and AI-powered solutions using cloud platforms (AWS/Azure/GCP), modern frameworks, and secure development practices.
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Senior consultant building and deploying AI-enabled cybersecurity solutions for clients, leading engineering teams, and shaping technical proposals with hands-on full-stack development.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Develop secure, AI-powered back-end services for cybersecurity solutions using Python, Java, Go, and cloud tools like GCP and Kubernetes.
This is an exciting opportunity in a global consulting firm (3,000+ consultants, 19 countries) where data, AI, and creativity drive real business transformation. We’re hiring an AI Engineering Manager to lead the…
Engineer large-scale LLM pre-training pipelines and distributed GPU clusters using PyTorch, DeepSpeed, or Megatron-LM, optimizing networking, memory, and fault tolerance for month-long runs.
Research intern at Binance’s Accelerator Program, collaborating on LLM reasoning projects applied to crypto markets using Python and PyTorch.
Senior Software Engineer at Seyond in Sunnyvale, CA, developing LiDAR-based perception software and machine learning models for autonomous driving and smart infrastructure using edge AI platforms like NVIDIA Jetson.
Build and deploy AI/ML models (NLP, deep learning) using Python and frameworks like TensorFlow/PyTorch, migrating SQL Server reports to a Snowflake data lake.
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