Mars · 14 hours ago

Azure Machine Learning Engineer

United States

Contract

Remote

Mid Level

$57.33/hr - $63.84/hr

3+ years exp

Maximize your interview chances

ConfectioneryConsumer Goods

Growth Opportunities

Insider Connection @Mars

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design, implement, and optimize a random forest model to analyze audio call data and establish trust metrics.

Preprocess and transform audio features (e.g., pitch, sentiment scores) into structured datasets for machine learning.

Perform feature engineering, data cleaning, and imbalanced dataset handling.

Set up and manage Azure ML resources, including datasets, pipelines, and compute environments.

Deploy trained models as scalable RESTful endpoints in Azure ML.

Integrate Azure ML with other Azure services, such as Azure Data Factory and Blob Storage.

Analyze model performance using appropriate evaluation metrics (precision, recall, F1-score, etc.).

Conduct hyperparameter tuning to optimize model accuracy and efficiency.

Validate model results and provide insights into model explainability using tools like SHAP or LIME.

Work closely with developers and data engineers to ensure seamless integration of the machine learning solution into the existing system.

Document all processes, models, and results for internal and client-facing use.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Azure Machine LearningRandom forest algorithmsPythonScikit-learnPandasNumpyMatplotlibAudio data processingLibrosaPyDubSpeech-to-Text APIsSentiment Analysis APIsSHAPLIMEMicrosoft Certified Azure AI Engineer AssociateMicrosoft Certified Azure Data Scientist AssociateDistributed trainingLarge-scale data processingDocumentation skills