Sourcescrub
Information Services • Research Management Systems • Deal Origination • Target Identification • Trade Show and Awards Publication Research
Machine Learning Engineer
November 28
Sourcescrub
Information Services • Research Management Systems • Deal Origination • Target Identification • Trade Show and Awards Publication Research
Description
• Develop and maintain ML models with a focus on scalability, especially for deploying and optimizing LLMs in production environments • Collaborate with cross-functional teams to deliver end-to-end ML solutions, from data preprocessing to model deployment • Implement data preprocessing, feature engineering, and model evaluation processes to ensure the highest standards of accuracy and efficiency • Develop and manage ML pipelines in Python for performance at scale • Leverage cloud platforms (e.g., Azure, AWS) for deploying, scaling, and monitoring models in production • Stay current with advancements in LLMs, ML frameworks, and Python development best practices
Requirements
• 3+ years of proven experience as an Applied ML Engineer or similar role, with a focus on Python • 3+ years of advanced Python skills, with strong experience in libraries such as Pandas, NumPy, TensorFlow, PyTorch, and Scikit-Learn • Demonstrated experience in deploying and optimizing ML models at scale, with knowledge of LLMs and other scalable architectures • 3+ years of strong knowledge of SQL and database management for data storage and retrieval • 2+ years of experience with version control, particularly Git • Strong analytical, problem-solving, and attention to detail skills • Excellent communication and teamwork, particularly in agile environments
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