Role: Machine Learning Engineer
Newark, NJ (remote until COVID)
NO OPT/CPT for this client.
Rate: $55/hr on C2C
Job Responsibilities:
- Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
- Design and implement Machine learning models and data ingestion pipelines.
- Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
- Expand and optimize data pipelines, data flow, and collection for cross functional teams.
- Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
- Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
- Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
- Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
- Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS SageMaker environment
- Experience in container, streaming and messaging technologies is a plus
Qualification:
- Bachelor's degree in computer science, data science, mathematics, or a related field. Master's degree preferred
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python framework, Java and Scala
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- Good understanding of mathematics, statistics, and algorithms.
- Excellent analytical and problem-solving abilities.
- Great communication and collaboration skills.
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