Sr. Machine Learning Engineer

Job 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.• 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.

Full-time