Blume Global Inc

Experience working with one or more Machine Learning and/or Deep Learning frameworks such as Spark ML, TensorFlow, Caffe, Scikit-learn, H20, or xgboost. 3+ years experience working with a framework (TensorFlow, Torch/Pytorch, MXNet, and/or Caffe).. 4+ years experience using machine learning toolkits (scikit-learn, TensorFlow, Jupyter, NumPy etc.). Experience with big data storage, analytics, and visualization solutions (MongoDB, Hadoop, Spark, Tableau etc.). Experience building and deploying on the Cloud such as AWS, Microsoft Azure or Google Cloud.

machine learning

** Machine Learning - Data Scientist - ETA (Inter-modal Transportation Domain)**
**Job Category****:** All **Requisition Number****:** MACHI001247 Showing 1 location **Job Details**
**Description**
Acting as a hands-on architect/Engineer, the ideal candidate will design solutions that are strategic for the business and build on the latest technologies and patterns. Utilizing in-depth knowledge of infrastructure, open source technologies, and software engineering, you will develop the strategy, establish engineering buy-in, and monitor execution toward the target architecture with continuous improvement along the way.
**Key responsibilities include:**
* Drive architecture and design decisions for the product and platform focusing on the machine learning flow.
* Develop scalable solutions based on state-of-the-art machine learning and AI methodologies.
* Analyze data sets for utility in unsupervised and supervised learning activities, perform failure analysis and feature engineering to improve performance, communicates these findings in a clear and thoughtful manner
* Plan, architect, design, develop, test and maintain key software enhancements, especially related to machine learning capabilities
* Be responsible for architecting the ML models and how they're used in a production environment.
* You'll introspect/interpret/debug model behavior and will help guide our ML implementation team towards better observability and more promising architectures based on real-world performance.
* Develop prototypes and execute experiments to evaluate the performance of ML/AI architectures/algorithms in large-scale industrial applications.
* Create proof-of-concept technology demonstrations.
**Basic Qualifications**
* **You have a PhD degree in computer science, computer architecture or related field.**
* **You have a strong and broad background in relevant theory familiar with statistical learning theory; information theory; recent theoretical results in machine learning; excellent foundation in linear algebra.**
* **You have explored architectures for Machine learning**
* Strong software skills in Python, Java, Scala, databases, and visualization tools
* Experience working with one or more Machine Learning and/or Deep Learning frameworks such as Spark ML, TensorFlow, Caffe, Scikit-learn, H20, or xgboost
* Experience building and optimizing robust data pipelines at scale using technologies such as Hadoop, Kafka, Spark etc.
* Strong communication and interpersonal skills are required along with the ability to work in a dynamic, product oriented, global team.
* 3+ years experience working with a framework (TensorFlow, Torch/Pytorch, MXNet, and/or Caffe).
* 4+ years experience using machine learning toolkits (scikit-learn, TensorFlow, Jupyter, NumPy etc.)
* Experience with big data storage, analytics, and visualization solutions (MongoDB, Hadoop, Spark, Tableau etc.)
* Experience building and deploying on the Cloud such as AWS, Microsoft Azure or Google Cloud.
* Strong programming skills in Python and/or C/C++ and/or Java
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