Overview
On Site
USD 150,000.00 - 200,000.00 per year
Full Time
Skills
Use Cases
Clustering
Regression Analysis
Data Collection
Modeling
Testing
Statistics
Collaboration
Time Series
Management
Distribution
Machine Learning (ML)
Data Science
Project Lifecycle Management
Apache Spark
Apache Hadoop
Cloud Computing
Microsoft Azure
Algorithms
Computer Vision
Analytics
A/B Testing
PostGIS
RabbitMQ
Redis
Python
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET
Job Details
Description
We are looking for a highly skilled Senior Machine Learning Engineer to join our team in King of Prussia, Pennsylvania. In this role, you will design and implement cutting-edge machine learning models and leverage your expertise to address complex data challenges. This position offers an exciting opportunity to work with advanced technologies and contribute to innovative solutions that drive business success.
Responsibilities:
Develop and deploy machine learning models capable of generalizing across various use cases with minimal retraining.
Apply techniques such as classification, clustering, regression, and ranking to solve critical business problems and uncover actionable insights.
Prepare and analyze diverse datasets, ensuring proper data collection, cleaning, and modeling processes.
Conduct feature engineering, selection, and rigorous testing of machine learning experiments to optimize model performance.
Perform statistical analyses to refine model accuracy and validate test results.
Continuously train and retrain models to improve their predictive capabilities over time.
Enhance the precision and reliability of existing machine learning systems.
Explore and implement new business applications for machine learning to maximize impact.
Stay updated on emerging trends in the field and collaborate with the team to integrate innovative approaches.
Recommend and execute improvements to the existing machine learning engineering infrastructure.
Requirements
Strong expertise in time series analysis and tabular data handling.
Proficiency in working with APIs and managing distribution shifts in datasets.
Solid understanding of the machine learning and data science project lifecycle.
Advanced statistical knowledge and ability to handle missing data effectively.
Experience with recurrent neural networks, though not mandatory, is advantageous.
Familiarity with technologies such as Apache Spark, Hadoop, and cloud platforms like Azure.
Skills in algorithm implementation, computer vision, analytics, and AB testing.
Knowledge of key technical tools, including PostGIS, TimescaleDB, RabbitMQ, Redis, and Python-based frameworks.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
We are looking for a highly skilled Senior Machine Learning Engineer to join our team in King of Prussia, Pennsylvania. In this role, you will design and implement cutting-edge machine learning models and leverage your expertise to address complex data challenges. This position offers an exciting opportunity to work with advanced technologies and contribute to innovative solutions that drive business success.
Responsibilities:
Develop and deploy machine learning models capable of generalizing across various use cases with minimal retraining.
Apply techniques such as classification, clustering, regression, and ranking to solve critical business problems and uncover actionable insights.
Prepare and analyze diverse datasets, ensuring proper data collection, cleaning, and modeling processes.
Conduct feature engineering, selection, and rigorous testing of machine learning experiments to optimize model performance.
Perform statistical analyses to refine model accuracy and validate test results.
Continuously train and retrain models to improve their predictive capabilities over time.
Enhance the precision and reliability of existing machine learning systems.
Explore and implement new business applications for machine learning to maximize impact.
Stay updated on emerging trends in the field and collaborate with the team to integrate innovative approaches.
Recommend and execute improvements to the existing machine learning engineering infrastructure.
Requirements
Strong expertise in time series analysis and tabular data handling.
Proficiency in working with APIs and managing distribution shifts in datasets.
Solid understanding of the machine learning and data science project lifecycle.
Advanced statistical knowledge and ability to handle missing data effectively.
Experience with recurrent neural networks, though not mandatory, is advantageous.
Familiarity with technologies such as Apache Spark, Hadoop, and cloud platforms like Azure.
Skills in algorithm implementation, computer vision, analytics, and AB testing.
Knowledge of key technical tools, including PostGIS, TimescaleDB, RabbitMQ, Redis, and Python-based frameworks.
Technology Doesn't Change the World, People Do.
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.