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Builds and deploys Python-based AI/ML features, designs APIs, and mentors junior engineers using TensorFlow and Docker.
Build and deploy AI/ML models on Azure, integrating with Microsoft services like Teams and Graph API using Python, PyTorch, and LangChain.
Build enterprise-grade Generative AI and AI/ML platform services, APIs, and agentic workflows using Python, FastAPI, Kafka, and Kubernetes to accelerate AI adoption for clients in banking and consumer sectors.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and MLOps pipelines to accelerate therapeutic research.
Senior ML Engineer builds and scales recommendation systems, productionizing models with PySpark, Airflow, and AWS SageMaker for real-time and batch inference.
Build and deploy AI-powered applications using Azure AI services, RAG, and agentic frameworks like LangGraph to create intelligent, automated solutions for clients.
Build and maintain low-level drivers and firmware for NVIDIA’s Deep Learning Accelerator hardware, optimizing performance for AI workloads in self-driving cars, gaming, and content creation.
Research and build AI/ML models to detect and evaluate security incidents from behavioral data, applying modern architectures like transformers to cybersecurity challenges.
Build and optimize distributed training infrastructure for GenAI models on AWS Trainium using PyTorch/JAX, tuning compiler, runtime, and parallelism to maximize throughput and hardware utilization.
Build and productionize secure, scalable AI/ML and GenAI solutions using Python, LLMs, and agentic frameworks to drive measurable business outcomes at a major bank.
Build and maintain ML infrastructure and data pipelines to operationalize AI models for drug-quality oversight in a regulated healthcare environment, using Python, cloud platforms, and MLOps practices.
NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s…
Build and maintain ML and data infrastructure to operationalize AI models for drug quality oversight, enabling proactive risk detection and compliance in a regulated healthcare environment.
Build and deploy LLM-powered systems, including retrieval pipelines and agentic AI, to extract insights from unstructured data using Python and PyTorch.
Build and scale AI agents and foundation models for drug discovery, integrating biological data and deploying robust MLOps/AgentOps systems in a biotech R&D environment.
Desde el área de Innovación e Inteligencia Artificial de Universidad Europea, buscamos un/a Senior AI Engineer con experiencia en el diseño y desarrollo de soluciones de Inteligencia Artificial en producción y un…
Senior ML Engineer builds and scales AI microservices, deploys LLMs, and maintains MLOps pipelines for a computer-vision company.
Build and optimize AI models for an AI-native platform that processes satellite data, focusing on machine learning pipelines and model deployment.
Senior Machine Learning Engineer builds and deploys ML models to solve client problems using Python and modern frameworks.
Leads machine learning and advanced analytics initiatives to drive data-driven decisions and innovation within Coca-Cola’s global digital transformation.
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