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Lead a Java team building e-commerce or consumer platforms; drive architecture, code reviews, and AI-driven features in Spring/Kotlin ecosystems.
Build and maintain secure, scalable full-stack apps for AI-driven identity verification using React, Express.js, and testing frameworks; mentor peers and shape technical decisions.
Builds scalable Kotlin/Java e-commerce features and integrates LLMs/agentic systems to enhance user experience, using Spring, GCP, and Kubernetes.
Build and evaluate AI-powered tools for insurance risk management, including adversarial evaluation platforms and AI pipelines using Python and cloud services.
Build and lead enterprise-scale AI systems, including multi-agent and RAG solutions, while driving innovation and scaling prototypes into production for Thomson Reuters’ AI-first transformation.
Build and refine predictive models in Python and R to extract insights from complex datasets and guide business decisions at an AI-first company.
Build and scale real-time computer vision infrastructure for AR, including pipelines, deep learning models, and optimization in C++/Python.
Build and deploy Python-based data pipelines and ML models for financial services, using Spark, TensorFlow, and SQL to analyze risk and support decision-making.
Build and deploy ML models to improve job-matching for Indeed’s users, using Python, TensorFlow/PyTorch, and cloud platforms.
Lead firmware design for edge AI accelerators, optimizing memory, DMA, and power while co-designing hardware specs and guiding customers on deploying PyTorch/TensorFlow models on custom silicon.
Build and maintain ML pipelines to optimize marketing campaigns using Python, PyTorch, or TensorFlow in a remote role.
Build and scale face-recognition systems using PyTorch/TensorFlow, own end-to-end ML pipelines on AWS, and lead fairness analysis for biometric models in production.
Develop AI and computer-vision algorithms in C++/Python to build Google’s real-time perception systems and optimize deep-learning models.
Build and deploy ML and agentic AI models on Databricks and cloud to personalize banking experiences, improve decisions, and drive operational efficiency in a regulated environment.
Build and deploy AI/ML models, focusing on language technologies like NLP and dialogue systems using Python, PyTorch, and Hugging Face frameworks.
Build and deploy ML models and pipelines using Python, TensorFlow/PyTorch, and MLOps tools; analyze data to drive business decisions.
Design and build scalable data pipelines and architectures for a fintech company, ensuring reliable data flow for analytics and financial products using Python, Spark, and cloud platforms.
Design and maintain scalable data pipelines and warehouses to feed analytics and ML, using Python, SQL, cloud platforms (AWS/Azure), and ETL tools.
Build and maintain scalable Java/Python microservices and integrate ML models for an international institution using REST APIs and cloud infrastructure.
Build and maintain scalable Java/Python microservices and integrate ML models for a European institution, using REST APIs and cloud practices.
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