Machine learning engineer
4 weeks ago
- A full stack engineer with deep understanding of data science and software engineering practices
- Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture
- 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
- 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
- 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
- A full stack engineer with deep understanding of data science and software engineering practices
- Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture
- 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
- 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
- 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
• 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.
• 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
• 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 Last updated : 2024-01-31
Company information
We are a global IT professional services firm providing top-caliber tech professionals and a trusted partner of Fortune 500 companies for over 20 years.
Financial Services, Computer Software, Information Technology and Services, Staffing and Recruiting, Outsourcing/Offshoring
Privately Held
Rockaway, New Jersey
Company Specialties:
IT Helpdesk and Technical Support, IT Infrastructure Support, Software Development and Quality Assurance, IT Managed Services, Data Management and Reporting Services, and IT BPM
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