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Build and scale secure IoT platforms for smart buildings and real estate, integrating cloud and edge computing with AI/ML pipelines in a global financial firm.
Design and partition cutting-edge AI models (e.g., Transformers) for custom silicon, mapping them to heterogeneous ASICs before hardware tape-out and ensuring cycle-accurate performance.
Build and deploy full-stack apps with React, Node.js, and TypeScript, integrating AI models and DevOps pipelines using AWS, Terraform, and CI/CD.
Build and scale the ML infrastructure powering Aidoc’s healthcare AI, focusing on computer vision and NLP for medical imaging to assist clinicians and improve patient outcomes.
Lead the evolution and scaling of AI architecture for a healthcare AI leader, integrating deep-learning models (CV/NLP) with robust software systems to improve clinical workflows and patient outcomes.
Designs and develops instructor-led and virtual training programs for corporate clients, focusing on AI tools and workplace technologies to upskill employees.
Build and maintain a full-stack web app and GPU-accelerated image-quantification tools for analyzing medical scans (CT, MRI, PET, US, ECG) in clinical-trial workflows.
Design and deploy secure, scalable cloud infrastructure on GCP for enterprise customers, guiding migrations and modernizations while optimizing for performance and cost.
Design and integrate GenAI/agentic AI solutions (RAG, MCP, workflows) with developer platforms and automotive middleware, using Python, LLM frameworks, and MLOps tooling.
Build and deploy ML models for wealth management, focusing on causal inference, forecasting, and generative AI workflows using Python, TensorFlow, and LLM APIs.
Build and scale high-performance ML systems for real-time fraud detection using PyTorch/TensorFlow and multi-GPU training pipelines, while mentoring engineers and shaping data architecture.
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Lead the engineering and deployment of production-grade generative AI systems, including LLMs and multimodal models, with a focus on scalability, reliability, and MLOps in an enterprise energy-tech environment.
Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
At Spaceium, we are building spacecraft systems designed to push the boundaries of what's possible in orbit. As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making, anomaly…
Build and maintain a production Android app in Kotlin that integrates AI-powered features like chat, vision, and voice via backend APIs, optimizing performance and reliability for real-world use.
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