Scan your resume against ATS criteria for this Machine Learning Engineer role at Stateside.
We are looking for a highly skilled
Machine Learning Engineer
Responsibilities
Design and implement machine learning models for classification, regression, recommendation, NLP, or time-series forecasting tasks.
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Develop, test, and maintain scalable ML pipelines for training, validation, and inference.
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Collaborate with data engineers to build efficient data ingestion and feature extraction systems.
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Optimize model performance using techniques like hyperparameter tuning, cross-validation, and regularization.
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Deploy models to production using MLOps practices with tools like MLflow, TFX, or SageMaker.
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Monitor and maintain the health of deployed models, updating them as needed.
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Document ML experiments, metrics, and decisions.
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Work closely with cross-functional teams to identify machine learning opportunities and define technical solutions.
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Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field (Ph.D. a plus).
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3–5+ years of hands-on experience building machine learning models in production.
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Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
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Experience with ML pipeline tools (e.g., Airflow, Kubeflow, MLflow).
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Familiarity with cloud services (AWS, GCP, or Azure) and model deployment.
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Solid understanding of statistics, data structures, and algorithms.
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Experience with version control (Git), containerization (Docker), and CI/CD for ML.
Preferred Qualifications**
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Experience with NLP or computer vision projects.
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Familiarity with big data tools (e.g., Spark, Hadoop).
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Experience using GPU-accelerated training environments.
vision projects.
How to apply for Machine Learning Engineer at Stateside?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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