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Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now…
Develop and optimize AI/ML algorithms for video surveillance products, focusing on computer vision tasks like detection and tracking, using Python/C++ and frameworks like PyTorch/TensorFlow.
Develop and optimize ML/DL algorithms for Reolink's surveillance/monitoring products—covering target detection, tracking, and recognition—using Python, C/C++, and frameworks like PyTorch and TensorFlow, with deployment across NPU/GPU/ARM platforms.
Data Engineer building scalable data pipelines for NLP and LLM applications using Python, Apache Spark, and vector databases at an AI product company.
DevOps Enterprise Architect designing and managing MLOps infrastructure using Kubernetes, Docker, CI/CD tooling, and cloud platforms (Azure preferred) for enterprise digital transformation programs.
Position Overview We are seeking a Vice President – Technical Program Manager (TPM) to drive the vision, program execution, and cross-functional delivery of our central Autonomous Alpha Generation Platform . Positioned…
Build and deploy AI solutions for a medical spa, focusing on customer insights, marketing, and business reporting using Python, LLMs, and cloud services.
Designs and builds AI-powered test automation frameworks for carrier-grade network systems, integrating Python/Java/Go with CI/CD and AI/ML to validate network protocols and cloud-native products.
Build and lead agentic AI systems for American Express’s servicing platforms, designing autonomous workflows, LLM orchestration, and evaluation tooling in Python/Go/TypeScript on AWS/GCP.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop,…
Design, implement, and maintain AI/ML infrastructure for Oracle's customers using Kubernetes, Terraform, Ansible, and Python on Linux, collaborating with customer technical teams and internal cloud services to deploy solutions at scale.
6-month internship developing Computer Vision and Machine Learning algorithms for medical navigation technologies using Python, OpenCV, and PyTorch in Freiburg.
The Data Science Manager will lead analytical projects integrating AI, machine learning, and geospatial analysis to provide economic and policy insights. They will manage end-to-end data workflows, mentor junior staff, and develop predictive models and dashboards using Python and SQL.
Senior IC role architecting and building production-grade ML, generative AI, and agentic AI systems (LLMs, RAG, SLMs) with MLOps practices for commercial pharma use cases in Bangalore.
The Principal Software Engineer will lead engineering squads in developing high-quality, AI-driven software applications and data systems for a large-scale banking platform. The role involves technical leadership, mentoring, and collaborating with cross-functional teams to deliver scalable, cloud-native solutions.
The Sr. Principal Machine Learning Engineer will architect and deploy production-grade AI systems, including LLMs, RAG, and agentic workflows, to support pharmaceutical commercial and field engagement use cases. The role involves leading technical design, implementing MLOps/LLMOps practices, and mentoring teams while ensuring scalability, governance, and performance.
Menschen und Technologien zu verbinden, den Perfect Match für unsere Kunden zu gestalten, immer die richtigen Expert:innen für die jeweilige Herausforderung zu finden - das ist unser Anspruch bei FERCHAU und dafür…
The Machine Learning Engineer will design, develop, and deploy production-grade AI solutions with a focus on geospatial applications. The role involves architecting scalable ML systems, implementing MLOps best practices, and mentoring team members using Python, PyTorch, and containerization tools.
The AI Engineer will lead the design and deployment of production-grade machine learning solutions, specifically focusing on geospatial applications. The role involves architecting scalable systems, implementing MLOps practices, and mentoring team members using technologies like Python, PyTorch, and Docker.
The AI Engineer will design, develop, and deploy AI-powered enterprise solutions using machine learning, Generative AI, LLMs, and RAG architectures. The role involves building scalable AI applications, optimizing models, and integrating them into cloud-based microservices architectures.
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