Machine Learning Engineer (15265-1) Newark, NJ

Job Description

Job Description

Machine Learning Engineer (15265-1) Newark, NJ

Experience level : Mid-senior Experience required : 7 Years Education level : Bachelors degree Job function : Information Technology Industry : Information Technology and Services Pay rate : Total position : 1 Relocation assistance : No Visa sponsorship eligibility : No

Only local candidates can apply.

Job Description :

As a Machine Learning Engineer, you will play a pivotal role in driving the development and implementation of cutting-edge machine learning solutions for our client. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions. You will be at the forefront of driving innovation and leveraging the power of machine learning to solve real-world problems, drive business growth, and create value.

Key responsibilities :

• Lead and drive machine learning projects from inception to production : build relationships with business partners and cross-functional teams.
• Collaborate with business leaders, subject matter experts, and decision-makers to develop success criteria and optimize new products, features, policies, and models.
• Partner with data scientists to understand, implement, train, and design machine learning models.
• Collaborate with the infrastructure team to improve the architecture, scalability, stability, and performance of ML platform.
• Construct optimized data pipelines to feed machine learning models.
• Extend existing machine learning libraries and frameworks.
• Develop processes, model monitoring, and governance framework for successful ML model operationalization.
• Define objectives for the Machine Learning platform, own the technical roadmap, and be accountable for delivering results.
• Define standards for engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations.
• Design and implement the best architectural practices in the delivery of data science use cases.

Key skills / knowledge / experience :

Additional Notes :