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Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Build and maintain scalable data pipelines for NLP research, including web crawling, LLM output refinement, and automated data processing in Python to support foundation model training.
Senior AI Engineer builds LLM/NLP features for a Dubai-based FinTech SaaS platform, driving AI strategy and scaling production-ready services in a global trading context.
Design and build AI-driven software systems using Python, React, Node.js, and FastAPI/Django, integrating APIs and optimizing performance for business operations.
Design and build AI agent systems using LLMs, agent frameworks, and tool integrations to create scalable, reasoning-driven applications for a financial services firm.
Build and deploy production-grade ML systems, including LLMs and GenAI, from experimentation to live inference while integrating with core product features.
Design and deploy AI models in Python/TensorFlow/PyTorch to solve business problems, then integrate them into production systems and monitor performance.
Senior back-end engineer building scalable RegTech and compliance automation using Python/Django, ElasticSearch, and AI-driven tools to streamline maritime trade counterparty onboarding and risk assessment.
Build AI models and APIs for geospatial imagery, including LLMs, computer vision, and AI agents, using Python and ArcGIS tools.
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
Design and build ML models for agricultural technology products, collaborating with data scientists and engineers to deploy solutions.
Build and deploy production-grade AI systems, including NLP, LLM features, and automations, to power workflows for restoration-industry SaaS customers.
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Develop and deploy deep learning models for AI solutions, focusing on computer vision and NLP, while collaborating with data scientists and engineers.
Develop and implement deep learning algorithms for AI projects using Python, TensorFlow, and Keras, with a focus on computer vision and NLP.
Ship production-grade LLM and automation systems that accelerate eSource-to-EDC workflows — with the validation rigor and audit traceability that clinical research demands. Pakistan Lahore About the role Nexa Trials is…
Build and deploy generative AI chatbots, predictive models, and analytics dashboards using Python, LLMs, and tools like Streamlit and Power BI.
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
Build and improve NLP models for text-based tasks like classification and sentiment analysis using Python and libraries such as NLTK, SpaCy, and Transformers.
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.
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