Machine Learning Engineer

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]