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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.
We are seeking an experienced Senior AI Engineer to design, develop and deliver AI-enabled solutions for large-scale organisations. The role involves developing proof-of-concept and production AI applications, working…
Build and maintain ML infrastructure including data pipelines, ETL workflows, and model deployment using Python, Docker, Kubernetes, GCP/Azure, and orchestration tools like Airflow or Kubeflow.
Staff Software Engineer on Google Ads' ML/LLM team, leading design and optimization of large-scale ML infrastructure and model strategies for search advertising using Python and C++.
At DS STREAM, we harness the power of AI, Data Science, and Cloud Solutions to drive growth and innovation for global brands. With over 180 experts and 130+ industry certifications, we deliver impactful solutions…
Role: ML Engineer Location: Minneapolis MN / Hartford, CT (Onsite) Duration: 12 Month Contract Key Skills: Machine Learning, Python, ML Pipelines, Model Deployment, Model Serving, Data Engineering, Model Monitoring,…
As a Senior DevOps Engineer, you will be responsible for: Design, implement, and manage scalable, secure, and highly available cloud infrastructure for GenAI-based platforms (Azure-focused). Develop, maintain, and…
Designs and maintains Azure cloud infrastructure for connected safety systems, including data ingestion, scalable storage, APIs, and ML model deployment.
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