Machine Learning Engineer

Description Pay Range: $110000 - $130000 / year Our Perks & Benefits :_ Comprehensive benefits package including medical, dental, vision, and life insurance Performance-based bonuses to reward your contributions* Paid time off to recharge and maintain a healthy work-life balance Flexible work options, including remote and hybrid opportunities, if eligible Retirement Plan (401k) with company-matched contributions Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund Fitness Reimbursement – up to $15/month for gym memberships Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion Employee Assistance Program – confidential support for personal or professional challenges, at no cost Extra Perks – optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance Purpose Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & 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 Ability to 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. Notice As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie’s use of these computer systems should contact Human Resources at [email protected]