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Design and operate AWS-based infrastructure for a genomics data platform, scaling pipelines, storage, and ML services while improving observability and cost efficiency.
Build and deploy AI/ML perception systems for autonomous robots and drones, integrating camera/radar sensors and fusion algorithms to enable safe navigation in industrial environments.
Design and validate security controls for Amazon’s AI/ML services like Bedrock and SageMaker, performing threat modeling, penetration testing, and automation to protect generative AI systems at scale.
Senior Software Engineer builds and maintains a cloud-native data platform using Kubernetes, Spark, and Trino to power enterprise analytics and AI/ML at a large bank.
Build end-to-end data pipelines, ML models, and predictive analytics for customer retention, pricing, and NLP-driven insights using Python, SQL, and AWS.
Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering…
Build and scale AI-driven automation and observability platforms for Visa’s global payment systems using Python, FastAPI, React, Kafka, and AWS services like Bedrock and SageMaker.
Build agentic AI systems and scientific workflows for drug discovery, integrating LLMs, retrieval, and biological models to accelerate research.
Build and lead enterprise software solutions using React, FastAPI, Python, and AWS, integrating AI/ML and DevSecOps practices for a global biotech company.
Design and implement secure cloud architectures and controls for AWS/Azure/GCP, automate security posture management, and embed security into CI/CD pipelines to protect Amgen’s global healthcare cloud platforms.
Build and deploy ML models for Chewy’s sponsored ads, improving relevance, ranking, and auction algorithms to drive revenue and customer engagement in e-commerce.
Design and deploy advanced analytics, pricing models, and algorithmic trading tools for BBVA’s FX business using Python, PySpark, and ML in Amazon SageMaker.
Build and deploy production-grade LLM and generative AI solutions, including RAG pipelines and AI agents, using Python, cloud-native tools, and frameworks like LangChain and AWS Bedrock.
Build and maintain production MLOps frameworks and pipelines in Python for enterprise-scale machine learning systems at a major bank.
Design and maintain scalable cloud infrastructure on AWS/GCP, optimize data pipelines, and automate CI/CD for data applications while ensuring security and performance.
Senior Solutions Architect designing and deploying AI-powered media workflows—from ingestion to distribution—using NVIDIA’s stack (CUDA, DeepStream, Kubernetes) and cloud platforms for broadcasters and OTT platforms.
Data Scientist Department: Neon One Location: Canada, United States Compensation: $110K – $125K • Offers Bonus • Multiple Ranges Employment Type: FullTime About Neon One At Neon One, we believe that technology is the…
Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
Build and deploy production-grade ML systems that turn real-world context into enterprise-grade demand forecasts, using Python and distributed ML infrastructure.
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorganChase within the Asset…
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