1 to 25 of 30 MLlib Jobs

PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Excellent technical publications and material contributions to the CV/ML/AI field More ❯

methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse More ❯

methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯

programming in Java, C++, Python or related language. Experience with neural deep learning methods and machine learning. PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

verbal and written communication skills. Experience working with real-world data sets and building scalable models from big data. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow. Experience with large-scale distributed systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

communication skills Experience working with real-world data sets and building scalable models from big data Experience with modern modeling tools and frameworks such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

verbal and written communication skills Experience working with real-world data sets and building scalable models from big data Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow Experience with large scale distributed systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

learning Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯

methods and machine learning Experience in building machine learning models for business applications Experience in applied research Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. Experience in implementing Computer Vision algorithms Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯

Python or related language Experience with neural deep learning methods and machine learning Experience with prompting techniques for LLMs Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. PhD in math/statistics/engineering or other equivalent quantitative discipline Experience with More ❯

programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of More ❯

methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯

methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯

methods and machine learning Experience in building machine learning models for business applications Experience in applied research PREFERRED QUALIFICATIONS: Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, etc. Experience with large-scale distributed systems such as Hadoop, Spark, etc. #J-18808-Ljbffr More ❯

methods and machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce More ❯

software. Ph.D. degree in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. Strong publication record in international conferences on machine learning and artificial intelligence. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer More ❯

Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication record in international conferences on machine learning and artificial intelligence Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication record in international conferences on machine learning and artificial intelligence Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication record in international conferences on machine learning and artificial intelligence Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are More ❯

insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation who are More ❯

a skilled programmer with a strong command of major machine learning languages such as Python or Scala, and have expertise in utilising statistical and machine learning libraries like Spark MLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code. Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable. Prior experience in solving machine More ❯

and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala More ❯

and troubleshoot deployed models to ensure reliability and performance. Stay updated with advancements in machine learning frameworks and distributed computing technologies. Required Skills: Proficiency in Apache Spark and Spark MLlib for machine learning tasks. Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering). Experience with distributed systems like Hadoop for data storage and processing. Proficiency in Python, Scala More ❯