machine learning engineer resume example with 16+ years of experience
Jessica
Claire
resumesample@example.com
(555) 432-1000,
, , 100 Montgomery St. 10th Floor
:
Professional Summary
AWS Certified Machine Learning Engineer with 5+ years of experience in training and deploying machine learning models. Extensive experience in ML Project Scoping, Data collection, Data Preprocessing, Feature Engineering and Data Augmentation. Skilled in training and deploying Machine learning models using Cloud based solutions such as AWS Sagemaker. Certified Project Management Professional (PMP) with more than 16 years of experience in IT industry managing cross functional teams and complex projects. Have clear understanding of entire Machine Learning Lifecycle including Project Identification, Scoping, Creating Performance Baseline, Data Collection, Data Augmentation, Feature Engineering, Model Training, Hyper-parameter tuning and Performance Monitoring.
Skills
Programming Languages / Machine Learning frameworks - Python, Numpy, Pandas, Scikit-learn, XGBoost, Keras
Project Management Professional (PMP) | Credential ID 1925709
Work History
Salesforce.Com, Inc. - Machine Learning Engineer Bellevue, WA, 05/2017 - Current
Worked closely with Product Owners and Application Managers to identify business problems that can be solved through Machine Learning
Worked closely with Project stakeholders to establish Project scope and Performance Baseline
Improved Data quality through Feature Engineering, Data Preprocessing, Data Wrangling and Data Augmentation on both Structured Data and Unstructured data
Built production ready Machine learning algorithms using various frameworks such as Scikit-learn, Keras and XGBoost
Researched, designed and implemented machine learning applications to solve business problems
Trained and Deployed Machine Learning models in Production using AWS Sagemaker
Closely worked with Product Owner and Business team to monitor Model Performance in Production and identify issues such as Concept drift, Data drift
Worked with Data centric approach for improving Model performance by constantly improving Data quality
Improved Model performance throughout Machine Learning lifecycle by iteratively working on Data quality, hyperparameter tuning and performance monitoring
Performed Hyperparameter tuning and Optimization through Hyperparameter tuning jobs using tools like AWS Sagemaker
Designed, implemented and evaluated new models and rapid software prototypes to solve problems in machine learning
Composed production-grade code to convert machine learning models into services and pipelines to be consumed at web-scale
Developed advanced graphic visualization charts to map and simplify analysis of multi-dimensional data and reports
Collaborated with product development teams to identify performance improvement opportunities and integrate trained models
Explored various algorithms and new technologies to develop and improve machine learning applications
Worked on various Machine Learning algorithms such as Naive Bayes, K Nearest Neighbor, K means Clustering, Ensemble models - Random Forest, XGBoost, Natural Language Processing (NLP), Text Mining, Sentiment Analysis
Worked with multiple stakeholders from geographically distributed teams for successful development, testing and deployment
Acquired knowledge on multiple aspects of Project Management - Requirement Management, Delivery Management, Change Management, Quality Management, Risk Management
Authored and maintained well-organized, efficient Test Scenarios and Test cases
Setup Integrated Test data across various systems
Conducted Defect Triage meetings
Prepare different level of estimates for upcoming / ongoing projects
Resource Forecasting based on demand for future projects
Identify risks, develop contingency & mitigation plans, monitor and Control risks throughout Project LifeCycle
Collect metrics data throughout project LifeCycle, collate metrics into Work Performance information and share with stakeholders through reports and dashboards
Coordinate, collaborate and communicate with team & stakeholders for smooth execution of project
Monitor project status through various tools / analysis and take any corrective actions
Manage Change Controls ā Impact analysis of Change controls and associated risks
Status tracking of monthly, quarterly & annual goals and status update to Senior Management
Work with team to automate and maintain regression suite for various applications
Mentor team members on various technical, domain and process related tools & techniques
Customization of HP ALM (Quality Center) as per the process needs
Conducted regression testing, analyzed results and submitted observations to development team.
Wrote and optimized test cases to maximize success of manual software testing with consistent, thorough approaches.
Reviewed requirements, specifications and technical design documents to provide timely and meaningful feedback.
Created accurate and successful test scripts to manage automated testing of certain products and features.
Gathered data on integration issues and vulnerabilities and outlined improvement recommendations.
Assessed software bugs and compiled findings along with suggested resolutions for development team members.
Collaborated with developers and product owners to stay current on product features and intended functionality.
Tested functional and compatibility of new programs or updates in comparison to existing applications.
Monitored resolution of bugs, tested fixes and helped developers tackle ongoing problems by providing QA perspective.
Business Wire - Software Quality Assurance Lead Nashville, TN, 05/2008 - 04/2010
QA Resource Planning and Forecasting
Project effort estimation and resource allocation
Requirement Analysis, Test Design, Test Execution and Test Closure activities
QA Status Reporting
Automation Testing
Regression Testing
Test Data Collection, Setup and Management
Quality Auditing
Metrics Collection & Reporting
Pearl Companies - Programmer Analyst New Orleans, LA, 02/2006 - 04/2008
Designed Automation Frameworks using HP UFT
Designed and executed Automation Test Scripts
Authored and maintained well-organized, efficient Test Scenarios and Test cases
Setup Integrated Test data across various systems
Documented and triaged the identified defects with the team and tracked to closure
Performed Defect retesting
Participated in Process Audits to ensure Compliance
Performed Functional, Non-functional and User experience testing
Proved successful working within tight deadlines and fast-paced atmosphere.
Collected various Metrics for the project and shared with the Team leadership
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