9 of 9 Remote Ray Jobs

manage multiple priorities in a fast-paced, dynamic environment Preferred Experience with GenAI and LLMs Proficiency with HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, or Ray Experience with hyperparameter optimization solutions Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes Familiarity with data pipeline tools Wondering ...

Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development. Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles : Apply ...

with practical experience in building and training reinforcement learning models. Excellent programming skills, with experience using reinforcement learning and ML frameworks (e.g. PyTorch, TensorFlow, Ray, Gym, RLLib, SB3, TRL) and MLOps tools. Solid understanding of hyperparameter optimisation techniques and strategies. Experience building machine learning platforms or tooling for industrial ...

roles 3+ years deploying ML solutions in production Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.) Experience with distributed training (Horovod, Ray, etc.) Proven work with generative AI and LLM applications Strong Python and ML framework skills (PyTorch, TensorFlow, etc.) Experience with MLOps practices and tools Strong communication ...

Grafana, Prometheus, DataDog etc.) Understanding of DataOps, FinOps, and cost-optimised data management practices. Familiarity with distributed systems and high-throughput data processing (e.g. Ray, Dask, Spark). Experience with feature engineering, model lifecycle management, and data-driven research environments (e.g. JupyterHub). Our recruitment philosophy We value self-awareness ...

from home 1-2 days a week. About you: You have experience of engineering and supporting at least one HPC scheduler, such as YellowDog, Ray, Slurm or IBM Symphony You have a deep knowledge of Linux You have a good understanding of both loosely coupled and tightly coupled HPC workloads ...

design products Build and optimise data processing pipelines for 3D geometry (meshes, B-Reps) and rendering workflows using distributed compute frameworks, i.e. Ray, Metaflow, Spark Integrate with and monitor CI/CD systems (e.g., Jenkins, Github actions) Integrate AI/ML solutions into CAD platforms in collaboration with research scientists … BREPs) Familiarity with OpenCascade Knowledge of 3D data processing, rendering techniques, and graphics APIs (DirectX, OpenGL, Vulkan) Experience with distributed compute engines such as Ray Data or Spark Understanding of software architecture and design patterns Ability to work in an agile development environment Passion for learning new technologies and improving ...

fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with GPU optimization: memory efficiency, quantization, mixed precision Comfortable owning ambiguous, zero-to-one technical problems … Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience in large-scale data processing (Apache Arrow, Spark, Ray) Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You'll Get Extreme ownership and autonomy from day one - you define ...

fine-tuning large models (LLMs or vision models) Proficiency with PyTorch, JAX, or TensorFlow Experience with distributed training frameworks (DeepSpeed, FSDP, Megatron, ZeRO, Ray) Strong software engineering skills - writing robust, production-grade systems Experience with GPU optimization: memory efficiency, quantization, mixed precision Comfortable owning ambiguous, zero-to-one technical problems … Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience in large-scale data processing (Apache Arrow, Spark, Ray) Prior work in a research lab (Google Brain, DeepMind, FAIR, Anthropic, OpenAI) What You'll Get Extreme ownership and autonomy from day one - you define ...