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Spectraforce

Lead Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$130,801 / year median in New Jersey

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Job Description

Position:
Lead Machine Learning Engineer Location:
California and New Jersey Duration:
6 months As a Lead Machine Learning Engineer, you will be leading the engineering of agentic AI systems and partnering with Data Scientists, Data Engineers, Data Analysts, DevSecOps, and other professionals helping to implement traditional models and agentic AI systems to deliver stability, producibility, scalability, and integration with other products and services. You will also architect AI capabilities that combine large language models with semantic knowledge layers, knowledge graphs, ontologies, and deterministic reasoning to support accurate, explainable, and governable business decisions. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem-solving, communication, and teamwork skills, along with agile ways of working, strong business insights, an inclusive leadership attitude, and a continuous learning focus on all that you do.