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Company Qualcomm Middle East Information Technology Company LLC Job Area Engineering Group, Engineering Group > Software Engineering General Summary About Us Qualcomm is enabling a world where everyone and…
The Cloud AI/ML Engineer will refactor and deploy machine learning models into production-ready batch processing jobs within an agile healthcare environment. The role focuses on optimizing model performance and compute costs using AWS, Python, and various ML frameworks.
Senior Data Scientist building ML models (clustering, anomaly detection, time-series forecasting) for automated telecom network optimization, using Python, MLflow, Elasticsearch, InfluxDB, MongoDB, and Kafka.
Forward Deployed Engineer embedded in public sector customer environments (Maryland, 5 days/week on-site) building production-grade AI/MLOps workflows on the Domino platform using Python, Kubernetes, Docker, and cloud infrastructure (AWS/Azure/GCP).
Who we are At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development…
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with…
Software/AI developer. R&D Location: United States Work Model: Remote Travel: Approximately 15% for R&D events, technical demos, and collaboration sessions Clearance: U.S. citizenship required. Active Secret…
The Principal DevOps Engineer will lead the architecture, scaling, and reliability of the company's Azure-based AI-native cybersecurity platform. This role focuses on building robust CI/CD pipelines, managing containerized microservices, and driving SRE practices to support high-volume security data processing.
Senior Machine Learning Engineer builds and optimizes deep-learning models for customer behavior prediction using PyTorch/TensorFlow, collaborating with client teams to drive business decisions at scale.
The Data Scientist will build and maintain machine learning models and data pipelines within a Databricks Lakehouse environment to support marketing intelligence. The role involves data preparation, feature engineering, and model evaluation using Python, PySpark, and SQL.
Senior Software Engineer on Google's Shopping Product Graph team, building ML/AI systems and LLM-based product understanding at massive scale using Python, C++, or SQL.
This role involves developing scalable backend services and ML pipelines to transform text-heavy shopping experiences into visually immersive interactions using Generative AI and multimodal models. Engineers will work on integrating visual assets like product cards and carousels into Gemini and AI-driven shopping features.
The Data Scientist will develop and manage machine learning models for wholesale power and gas market applications, including price forecasting and trading algorithms. The role involves the full ML lifecycle, leveraging deep learning and cloud technologies to support the Commodities team in the ERCOT and PJM markets.
Software engineer on Google's Platforms and Devices team architecting, training, and deploying machine learning models for depth estimation on Android XR headsets and smart glasses using C++ and Python.
Senior Software Engineer at Google DeepMind building and enhancing serving solutions for Gemini models, developing infrastructure for advanced capabilities, and ensuring model quality through debugging and monitoring; core technologies include AI/ML, large language models, C++, and model deployment infrastructure.
Build and fine-tune NLP models for real-time content summarization and recommendations using transformer models and RAG, then deploy them via microservices to power conversational UIs and brand-aligned outputs.
Who we are Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools -…
The MLOps Engineer will manage the end-to-end lifecycle of Large Language Models, including fine-tuning, data pipeline development, and production deployment on AWS. The role focuses on building scalable AI infrastructure using tools like Hugging Face, Docker, and Kubernetes.
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