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AI/ML Engineer
Design and deploy AI/ML models, including LLMs and GenAI, to solve healthcare data challenges using Python, cloud platforms, and MLOps.
Senior AI Engineer, ML & Model Quality
Build and deploy production-grade ML models and RAG pipelines to replace rule-based systems, focusing on model quality, evaluation, and self-hosted LLM inference.
Machine Learning Engineer
Builds and trains ML models in Python/R using frameworks like TensorFlow/PyTorch to analyze data and make predictions for a Pakistan-based AI product team.
Senior AI Solution Architect
Designs and integrates AI/ML solutions into a data lakehouse using Spark, Kafka, and Jupyter Enterprise Gateway for batch and real-time inference.
Senior AI Solution Architect
Designs and architects AI/ML solutions integrating batch and real-time inference using Spark, Kafka, and Jupyter Enterprise Gateway within a data lakehouse.
AI Engineer
Build and fine-tune AI models using Python, TensorFlow/PyTorch, and cloud services like AWS Bedrock and Azure OpenAI to deliver industry-specific solutions.
AI/ML Engineer
Build and fine-tune LLMs and RAG systems using TensorFlow, PyTorch, and LangChain, while maintaining cloud-based ML pipelines on AWS/Azure/GCP.
AI Data Engineer
Build and maintain scalable data pipelines and systems that power FactualIQ’s AI-driven Decision Engine, including vector databases, semantic search, and real-time processing for enterprise clients.
Sr Python Developer
Build and deploy AI-powered Python applications, REST APIs, and ML pipelines using TensorFlow/PyTorch, Docker, and cloud AI services.
AI Engineer
Build and deploy cutting-edge computer-vision models in Python, turning research into production-grade edge-AI systems and collaborating with product teams on roadmaps and commercialization.
Remote Senior Data Scientist – Production ML & Pipelines
Senior Data Scientist builds and maintains production ML models and data pipelines in a cloud-native environment using AWS SageMaker or similar.
Senior Data Scientist — Remote ML & Production Pipelines
Senior Data Scientist builds, deploys, and maintains production ML models and cloud-native pipelines using Python, SQL, and AWS SageMaker or similar platforms.
Exciting Anti-Money-Laundering AI Platform - Data Engineer / Data Scientist
Build and maintain real-time AML data pipelines and ML models using Spark, Kafka, and cloud platforms to detect money laundering for financial institutions.
Senior Software Engineer - TypeScript
Build and maintain a TypeScript-based subscription platform using Next.js and Nest.js, integrating with Shopify APIs to deliver scalable billing solutions for global brands.
Platform Engineer Data & ML
Build and optimize a Databricks-based data and ML platform that powers automated lending, credit risk scoring, and transaction categorization for a fintech startup.
Senior MLOps/Data Engineer
Own and automate ML pipelines on Azure and Databricks, from data ingestion to model monitoring, ensuring reliability and observability for applied AI systems.
AI Backend Software Engineer II - AI Application Platform
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Sr. Backend Software Engineer, Machine Learning
Build and deploy ML models for a sales-enablement platform, collaborating with data science and product teams to improve model performance and scalability.
Staff AI Engineer
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
AI Engineer/ Machine Learning Engineer
Build and deploy ML models for HR tasks like candidate screening and talent matching, using Python and cloud platforms (AWS/GCP).