Machine Learning Engineer

About the role

Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models.

Responsibilities

• Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
• Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
• Utilize LLMs and Generative AI to provide software automation capability integrations
• Build and operationalize Retrieval Augmented Generation (RAG) frameworks
• Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
• Perform data cleansing, analysis, and feature engineering using Python
• Absorb and apply knowledge of manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
• Work with multiple data sources and types (structured/semi-structured/unstructured)
• Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
• Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
• Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
• Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
• Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
• On-call support

Qualifications and Education Requirements

• Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
• Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
• Proficient SQL skills and experience working with large data sets (big data, IoT data)
• Proficient with programming and modeling using Python
• Knowledge of modeling in pre-training & fine tuning foundation LLM models
• Knowledge of LangChain and sentence transformer frameworks
• Knowledge of ChatGPT4 (or comparable models)
• Experience applying current machine learning techniques
• Knowledge of evolving data science concepts and best practices

Other Duties

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.