Machine Learning Engineer

Confie

$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative/applied field
  • Expert in manipulating and analyzing large datasets
  • Proficient in SQL and Python programming
  • Knowledge of LLM pre-training & fine-tuning
  • Familiar with LangChain and sentence transformer frameworks
  • Experience with current machine learning techniques

Responsibilities

  • Research and implement machine learning solutions on Snowflake Cloud
  • Develop solutions using AI, ML, and NLP techniques
  • Utilize LLMs and Generative AI for software automation
  • Build and operationalize Retrieval Augmented Generation frameworks
  • Enhance and deploy machine learning models to improve outcomes
  • Perform data cleansing and feature engineering using Python
  • Communicate results clearly using data visualization techniques

Benefits

  • Generous PTO plans and sick pay
  • Annual performance-based bonus
  • Flexible work from home and hybrid options
  • Educational support through scholarship programs
  • Recognition programs for employee contributions
  • Corporate responsibility initiatives
  • Promotions for diversity, equity, and inclusion
  • Gym discount programs
Full Job Description
Pay Range:

  • $110000 - $130000 / year


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]

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