R
Senior Machine Learning Engineer
R
- Posted a month ago
- Over 300 applicants have applied
Job Description
Job description
What you will do
- Contribute to the PyTorch upstream community
- Contribute to the integration of PyTorch into the RHEL AI and OpenShift AI products
- Work closely with teams within AI Engineering, where collaboration opportunities present themselves
- Adhere to architectural and design principles that help improve overall development within the group
- Learn the architectural concepts that are key to the development of our product set
What you will bring :
- Experience contributing to Open Source projects
- Experience using and contributing to AI related projects
- Existing PyTorch contributions a strong plus
What will be considerd a Plus :
- Experience with test-base development and agile/scrum methodologies
More Info
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Key Skills
About Company
Skills:
Apis, Sql, Tensorflow, Nlp, Pytorch, Computer Vision, Python, Data Analysis, Generative AI, scikit-learn, LLMs, cloud-based solutions, Forecasting, ML pipelines, Optimization, RAG, evaluation frameworks
Skills:
Retrieval Augmented Generation (RAG, Large Language Models (LLMs, Python, Sql, Clustering, Java, Tensorflow, MLops, Pytorch, Predictive Modeling, XGBoost, ranking, CI/CD, Fraud Detection, Go, Scikit-learn, vector databases, embeddings, Classification, Forecasting, recommendation systems
Skills:
Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection
Skills:
data preparation , prophet , Machine Learning, Sql, Tensorflow, Data Science, Pandas, Pytorch, Docker, Arima, Python, LSTMs, Airflow, scikit-learn, LightGBM, MLflow, time-series forecasting, Sagemaker, AWS Cloud Platform, data quality assessment, Transformers, MLOps tools, statsmodels
Skills:
Spark, Sql, Kafka, Machine Learning, MLops, AWS, Python, Kubernetes, Docker, Ai, anomaly detection, Time-series forecasting, Real-time data processing