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Design, build, and productionize LLM-powered agentic AI systems and scalable ML pipelines for conversational interfaces using Python, cloud services (AWS), and microservices at scale.
ML Engineer II at TD's Layer 6 AI center building scalable ML frameworks and production-grade models on large financial datasets (transactions, transcripts, documents) using Python, C/C++, and PyTorch/TensorFlow.
AI Engineer building production-grade AI/ML and GenAI solutions (RAG, agents, NL interfaces) on Snowflake Cortex AI, using Python, SQL, and Microsoft Azure in a hybrid Toronto role.
Lead ML-based software development at RBC Borealis, prototyping and integrating algorithms in NLP, deep learning, and time series using Python and frameworks like PyTorch, JAX, or TensorFlow.
ML Engineer building scalable, production-grade ML systems on real-world banking data (transactions, conversations, documents) using Python, C++, PyTorch, and TensorFlow.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments, primarily using TypeScript/Node.js.
Research Engineer at the Alibaba-NTU Global e-Sustainability CorpLab developing Green AI technologies—focusing on LLMs, model optimization, and efficient inference—to advance sustainable computing. Core tech: Python, PyTorch/TensorFlow, large language models, distributed training.
Senior ML Engineer building end-to-end AI/ML systems for retail pricing optimization, with initial focus on agentic AI and A2A protocols using Python, agentic frameworks (ADK/LangChain), and cloud-native environments (GCP/AWS).
Founding ML Engineer building production-grade ML pipelines and deploying LLMs/generative models from the ground up at an early-stage AI company, using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Python Developer building scalable backend applications, RESTful APIs, and automation solutions using Python (Django/Flask/FastAPI), relational/NoSQL databases, Docker, Redis, and Celery.
Data Scientist/ML Engineer at Ayesa Digital in Burgos, Spain, responsible for the full data and ML lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, MLflow, and PySpark.
Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our…
The Software Developer will build and maintain internal tools and external-facing applications using a full-stack tech stack including React, TypeScript, and Python or Node.js. The role involves integrating third-party platforms and ensuring code quality and security across company systems.
About Affinity Affinity is pioneering new frontiers in AdTech: developing solutions that push past today’s limits and open new opportunities. We are a global AdTech company helping publishers discover better ways to…
Full Stack + AI Engineer role building end-to-end applications with LLM/AI integration, using Python/Go/Node.js backends, relational databases, and cloud platforms for an IT consulting and research firm in Bandung.
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Design, create, test, and deploy artificial intelligence and machine learning algorithms to solve complex…
Senior AI Engineer based in Lahore, Pakistan, designing and integrating AI-driven features—including LLM workflows and intelligent automation—into vertical-market enterprise products using Java, ML frameworks, and cloud platforms.
About the Role: Design and develop ML and CV algorithms for video and audio analytics. Work with motion detection, object detection, tracking, facial recognition, audio analytics and other CV/ML tasks. What You'll…
Ayesa Digital is seeking a Data Scientist and Machine Learning Engineer in Valencia to manage the full data lifecycle, including designing, training, and deploying ML models into production environments.
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