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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.
Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Senior AI Engineer designs and deploys production-ready ML/LLM models, builds data pipelines, and mentors junior engineers for Devsinc’s client projects.
Build and scale the core infrastructure for Vectara’s enterprise RAG platform, focusing on backend services, DevOps, and ML workloads using Go, Python, or Java.
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them via MLOps, and maintains cloud-based data infrastructure for intelligent applications.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs/Docker, and integrate into real-time applications.
Build production-grade AI agents and LLM-powered features like chatbots and RAG systems using Python, FastAPI, and third-party models (OpenAI, Gemini, Claude).
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs, and integrate into products.
Builds and maintains scalable data pipelines and APIs using JavaScript and SQL to support reporting, AI/ML tools, and business analytics for a global agribusiness services team.
Backend Java developer building microservices with Spring Boot and REST APIs for banking projects, integrating cloud, CI/CD, and AI-driven automation.
Build and deploy agentic AI systems using LLMs and reasoning architectures to improve patient outcomes in Philips' healthcare products.
Design and build agentic AI systems using NLP and ML to improve patient outcomes and healthcare solutions at Philips.
Build and deploy agentic AI systems using LLMs and NLP for healthcare, focusing on RAG, chatbots, and structured information extraction to improve patient outcomes.
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