Blockchain Technologies. LLC
Machine learning
Blockchain Technologies. LLC, San Francisco, California, United States, 94199
W-2 Open Positions Need to be Filled Immediately.
Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal.
We do not accept resumes from other company/third-party recruiters.Job Overview
Specialized Area:
Machine LearningJob Title:
Machine Learning EngineerLocation:
To Be Discussed LaterDuration:
6 MonthsDomain Exposure:
Banking & Finance, Telecom, IT/SoftwareWork Authorization:
To Be Discussed LaterEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)This specific role is responsible for designing and implementing algorithm solutions, including fusing disparate data that originates from customers, applying cutting-edge analytics models, and returning results that deliver value to customers. The Machine Learning Engineer will work closely with data scientists, Big Data Teams, Java Teams, project managers, and backend engineers to gather requirements, understand performance characteristics, and identify usage patterns to deliver solutions.Responsibilities
Strong computer science fundamentals, debugging skills, and knowledge of algorithms.Be able to develop significant code bases and integrate new libraries and frameworks into work.Excellent foundation and demonstrable experience in recommendations and information retrieval algorithms.Experience and interest in machine learning and AI, and in working with real-world data sets.Very strong in Data Science Models.Develop scalable data processing pipelines for analytical and predictive platform services.Collaborate with other AI scientists and machine learning engineers to find effective solutions to technical challenges.Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniques.Production-quality developer in Python, C/C++, Java, or other general-purpose languages.Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR).Experience with big data frameworks such as Cassandra, Spark, and Hadoop.Familiar with ML lifecycle tools such as MLflow, FBLearner Flow, TFX, and Michelangelo.Demonstrated awareness of how to succeed in ambiguous circumstances.Experience with analytics development for industrial applications in a commercial setting.Experience with virtualization and containerization, including managing and deploying containers using Kubernetes/Docker.Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.Determination - even when experiments fail, the ability to try again is key.BLOCKCHAIN TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status.
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Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.Candidates encouraged to apply directly using this portal.
We do not accept resumes from other company/third-party recruiters.Job Overview
Specialized Area:
Machine LearningJob Title:
Machine Learning EngineerLocation:
To Be Discussed LaterDuration:
6 MonthsDomain Exposure:
Banking & Finance, Telecom, IT/SoftwareWork Authorization:
To Be Discussed LaterEmployment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)This specific role is responsible for designing and implementing algorithm solutions, including fusing disparate data that originates from customers, applying cutting-edge analytics models, and returning results that deliver value to customers. The Machine Learning Engineer will work closely with data scientists, Big Data Teams, Java Teams, project managers, and backend engineers to gather requirements, understand performance characteristics, and identify usage patterns to deliver solutions.Responsibilities
Strong computer science fundamentals, debugging skills, and knowledge of algorithms.Be able to develop significant code bases and integrate new libraries and frameworks into work.Excellent foundation and demonstrable experience in recommendations and information retrieval algorithms.Experience and interest in machine learning and AI, and in working with real-world data sets.Very strong in Data Science Models.Develop scalable data processing pipelines for analytical and predictive platform services.Collaborate with other AI scientists and machine learning engineers to find effective solutions to technical challenges.Ability to access, manage, transfer, integrate, and analyze complex datasets, especially using SQL or map-reduce techniques.Production-quality developer in Python, C/C++, Java, or other general-purpose languages.Experience with cloud infrastructure (AWS/Azure), particularly cloud storage (S3, Redshift) and computing (EC2, EMR).Experience with big data frameworks such as Cassandra, Spark, and Hadoop.Familiar with ML lifecycle tools such as MLflow, FBLearner Flow, TFX, and Michelangelo.Demonstrated awareness of how to succeed in ambiguous circumstances.Experience with analytics development for industrial applications in a commercial setting.Experience with virtualization and containerization, including managing and deploying containers using Kubernetes/Docker.Familiar with analytics frameworks and languages such as TensorFlow, Sci-kit learn, Spark, Scala, R, Python, MATLAB, etc.Determination - even when experiments fail, the ability to try again is key.BLOCKCHAIN TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status.
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