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ML Engineer Newark, NJ - Hybrid role 6-12 Months Contract
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 data loading 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 (Client) and Big Data platforms in Hybrid and multi-cloud environment, specifically in AWS SageMaker environment
Experience in the 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 2 years experience as a machine learning engineer.
Advanced proficiency with Python framework, Java, and Scala
Extensive knowledge of Client 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
Full Time
$121k-154k (estimate)
05/12/2024
07/11/2024
amiseq.com
Milpitas, CA
50 - 100
The job skills required for ML Engineer include Machine Learning, Algorithms, Python, Computer Science, Data Science, AWS, etc. Having related job skills and expertise will give you an advantage when applying to be a ML Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by ML Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for ML Engineer positions, which can be used as a reference in future career path planning. As a ML Engineer, it can be promoted into senior positions as a Principal AI Engineer that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary ML Engineer. You can explore the career advancement for a ML Engineer below and select your interested title to get hiring information.