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Showing 9 jobs
Skills:
Docker, Kubernetes, Python, LLM inference optimization, open-source LLMs, gRPC APIs, vLLM
Skills:
model development , Data Cleaning, Sql, Numpy, Pandas, Python, offline evaluation, time-series data anomaly detection, scikit-learn, field validation, Forecasting, Classification, hybrid ML plus heuristics, Regression, rule-based systems, deployment monitoring, signal validation, drift detection, feature engineering
Skills:
Machine Learning, LangChain, Generative AI, AI Application Architecture, LLMOps, Python Software Engineering, Model Evaluation, LangGraph, Agentic AI, LLM Applications, RAG, LlamaIndex, Observability, Production AI ML Systems
Skills:
Tensorflow, Deep Learning, Java, Machine Learning, Pytorch, Keras, automation, Python, Data Analysis, R
Skills:
Java, Apis, Node.js, Kotlin, React, Gcp, Docker, Distributed Systems, Azure, Python, Kubernetes, AWS, RAG embeddings, Prompt engineering, LLMs, Vector databases, Modern frontend frameworks, semantic search, Messaging, Data pipelines, Tool calling, Event-driven architectures
Skills:
state estimation , Vision-Language Models (VLMs), Pytorch, Opencv, ROS, Python, Computer Vision, SLAM, Isaac Sim, MuJoCo, Gazebo, TensorRT, LibTorch, RT-2, OpenVLA, Eigen, ?0, ONNX Runtime, Transformers, Motion Planning, perception, ROS2, Imitation Learning
Skills:
Golang, Jax, Prometheus, Cloudwatch, Grafana, Tensorflow, Pytorch, Python, Java, Scala, MLops, Spark, Keras, Kubernetes, Scalable ML architectures, End-to-end machine learning pipelines, Automated remediation, MLflow, Prediction and drift monitoring, Model hosting, Stream processing pipelines, Big data frameworks, Model versioning, API performance monitoring, Embedding scaling, Feature stores, Data versioning
Skills:
Bi Tools, Data Analytics, Deep Learning, Tensorflow, Pytorch, MLops, Gcp, Docker, Excel, Azure, Python, Kubernetes, AWS, Generative AI, ML algorithms, NLP frameworks, MLflow, Scikit-Learn, Statistical Modeling, Kubeflow, Data ML pipelines
Skills:
Apache Spark, Sql, Pytorch, Docker, Databricks, Python, Model Serving Frameworks, AWS ecosystem, SHAP, scikit-learn, MLflow, TF Serving, ONNX, Cloud Platforms, LIME, Kubeflow, MLOps tools, Model Explainability tools
