Machine Learning Engineer III
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Role details
Tech stack
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Job description
Implement, refine, and validate machine learning algorithms for products and applications
Design and develop data pipelines for data ingestion, validation, cleaning, and monitoring
Train models, evaluate accuracy, and deploy validated models into production
Design proof-of-concept solutions and contribute to future product development studies
Test and evaluate solutions through case studies, technical reviews, and performance reporting
Collaborate with cross-functional teams to address technical issues and support project delivery
Requirements
This opportunity is a strong fit for an experienced engineer who enjoys both the technical depth of machine learning and the collaboration required to bring projects across the finish line. You’ll design proof-of-concept solutions, evaluate new approaches, work with teams beyond your immediate group, and help solve technical challenges that shape future products., 5-8 years of related experience after completing a bachelor’s degree, or a master’s degree with 2-3 years of related experience
Experience implementing, refining, and validating machine learning or deep learning algorithms
Strong programming and software development skills
Familiarity with Python, Java, Scala, or similar programming languages
Experience designing data pipelines for ingestion, validation, cleaning, and monitoring
Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline-or equivalent industry experience
Desired Skills & Experience Experience with data mining or statistical analysis tools
Experience deploying and monitoring machine learning models in production
Knowledge of Kafka, Spark, Docker, or similar data and cloud technologies
Experience designing proof-of-concept solutions or contributing to technical studies
Experience with model testing, accuracy evaluation, case studies, or performance reporting
Experience collaborating with teams outside of an immediate work group
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