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Executive Java Machine Learning Jobs in New Jersey

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in ... Advanced proficiency in Python, Java, and Scala with solid CS fundamentals (algorithms, data ...

Lead, Machine Learning Engineer

Newark, NJ

$107.20K - $141.20K/yr

Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

Lead Machine Learning Engineer

Newark, NJ · On-site

$107.20K - $141.20K/yr

Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

Sr Machine Learning Engineer

Piscataway, NJ

$55.75 - $73.75/hr

Machine Learning Engineer / Architect Experience • 7+ years' experience in designing and ... K8s/Docker, Core Java, J2EE, JSP, Servlet, Node.js, Angular, • Proficient in Big Data ...

Java Developer

Summit, NJ

$54.25 - $70.25/hr

... Machine learning and Big Data Processing Technologies. Desired Skills Deep understanding of OO design, strong programming skills with Java

Java + AI Developer

Jersey City, NJ

$53.25 - $69/hr

Process and clean data to feed machine learning models, creating intelligent algorithms to enhance automation. * Collaboration: Work with cross-functional teams (data scientists, DevOps) to translate ...

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Executive Java Machine Learning information

What cities in New Jersey are hiring for Executive Java Machine Learning jobs? Cities in New Jersey with the most Executive Java Machine Learning job openings:

Machine Learning Engineer

Seven Seven Software

Newark, NJ • On-site

Contractor

Posted 10 days ago


Job description

• 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
• 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.
Job Requirements