1 to 25 of 92 Ray Jobs

levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm ...

levels; convey information clearly and create trust with stakeholders.Preferred qualifications, capabilities, and skillsExperience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)Experience of big data technologiesHave constructed batch and streaming microservices exposed as REST/gRPC endpointsExperience with container orchestration tools (e.g. Kubernetes, Helm) Knowledge of open source ...

experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)Excellent communication skills to collaborate with researchers and translate research ideas into robust implementationsSelf-driven attitude with genuine curiosity about ML research developmentsComfortable ...

levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience designing/implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray) Experience of big data technologies Have constructed batch and streaming microservices exposed as REST/gRPC endpoints Experience with container orchestration tools (e.g. Kubernetes, Helm ...

fieldHands-on experience with cloud-native ML infrastructure platformsKnowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding modelsExperience with model serving frameworks (vLLM, TensorRT, Ray)Experience with A/B testing and experimentation frameworks for AI featuresContributions to open-source ML projects or research publicationsExperience with model observability tools (LangSmith ...

experience with cloud‐native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open‐source ML projects or research publications Experience with model observability ...

inference, model orchestration and observability, etc. Leverage a broad stack of Open Source and SaaS AI/ML technologies such as kubernetes, kubeflow pipelines, ray, polars and more Invent and introduce state-of-the-art ETL and ML optimization techniques to improve the performance - scalability, cost, latency, throughput - of large ...

Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including ...

experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability ...

least one systems language (Go, Rust, or C++). Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm). Familiarity with GPU telemetry systems such as NVML or DCGM and hardware‐level monitoring concepts. Demonstrated experience scaling systems from Proof‐of‐Concept to production ...

Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM/llm-d Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock … monitoring (e.g., hallucination, toxicity, drift detection) and tracing via OpenTelemetry conventions Contributions to open-source LLM serving or inference projects (e.g., vLLM, llm-d, Ray, KServe, Triton) ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

Experience building AI agents using frameworks such as LangChain, CrewAI, LangGraph, or similar orchestration platforms Experience operating or integrating serving platforms such as KServe, Ray Serve, NVIDIA Triton Inference Server, Text Generation Inference (TGI), alongside vLLM/llm-d Familiarity with Amazon SageMaker JumpStart, SageMaker Endpoints, and Amazon Bedrock … monitoring (e.g., hallucination, toxicity, drift detection) and tracing via OpenTelemetry conventions Contributions to open-source LLM serving or inference projects (e.g., vLLM, llm-d, Ray, KServe, Triton) ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations ...

experience with cloud‐native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Familiarity with Anaplan or similar enterprise planning platforms Experience with A/B testing and experimentation frameworks for AI features Experience with model observability tools ...

Scikit-LearnStrong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, PolarsFamiliarity with AWS Cloud services such as EMR, SagemakerOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies including CI/CD, application ...

batch data workloads, along with modern data transformation and orchestration patterns.Ideally, you may also have experience with parallel or distributed training frameworks such as Ray, or with modern data formats such as Parquet and Iceberg.It would also be helpful if you have some experience with Infrastructure as Code (Terraform ...

propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ML, probabilistic programming, A/B testing. Условия No conditions specified ...

Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies including ...

FSDP. Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry. Experience with data pipeline orchestration tools such as Airflow, Flyte, Ray, Metaflow, or Argo Workflows. Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight. Understanding ...

such as DDP or FSDP.Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.Experience with data pipeline orchestration tools such as Airflow, Flyte, Ray, Metaflow, or Argo Workflows.Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform.Experience profiling or optimising ML systems, for example using NVIDIA Nsight.Understanding ...

orchestration tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform expertise (AWS required, Azure & GCP beneficial). Experience with data processing frameworks (Spark, Athena, Ray, or similar). Track record of driving architectural transformations in growing companies. Excellence in technical communication and stakeholder management. Wondering if you’re a good ...

tools (Temporal, Airflow, Kubeflow, or similar). Cloud platform experience (AWS preferred, Azure & GCP a plus). Familiarity with data processing frameworks (Spark, Athena, Ray, or similar) a plus. Strong technical communication and collaboration skills. Wondering if you’re a good fit? We believe in investing in our people ...

/ML libraries and tooling (NumPy, pandas, scikit‐learn, PyTorch); experience shipping inference in production.Experience with cloud or on‐prem orchestration and scheduling (Kubernetes, Ray, HTCondor, SLURM).BenefitsTower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global ...

SHARP, RDMA/NUMA, or GPU interconnect topologies). Active open-source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe). Experience leading multi-team technical initiatives or partnering directly with enterprise customers on mission-critical platform launches. Wondering ...

strong background in mathematics and statistics Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring Understanding of and experience with ...

history of direct contributions to vLLM or similar high-performance open-source ML/AI projects (e.g. PyTorch, Hugging Face TGI, TensorRT-LLM, Ray). Strong understanding of LLM inference mechanics (e.g. KV caching, continuous batching, memory management, model quantisation). Experience interacting with, and upstreaming code to, active open ...