Machine Learning Engineer

Role overview

Responsibilities

• check_circle Builds and deploys scalable analytical systems.
• check_circle Develops data science proof-of-concept models into production-ready applications. Follows industry standard principles on software development.
• check_circle Builds data science applications related to text-based search, and audio & video recordings.
• check_circle Uses statistical modeling or A/B testing approaches to evaluate algorithmic improvements to model.
• check_circle Executes on technical roadmap for data science products.
• check_circle Performs systems analysis, interprets the findings from it and explains the finding to business audience to improve products such as revenue management system, and paid search bidding system.
• check_circle Documents assigned aspects of projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.
• check_circle Develop and optimize prompts for large language models (LLMs), evaluate and fine-tune AI models to achieve desired outcomes for specific business applications.
• check_circle Collaborate with various teams to integrate and test data science and AI applications.

Basic qualifications

• A Master’s Degree in computer science, data science, mathematics, statistics, finance, economics, or other engineering
• Requires 3+ years' experience in deploying advanced analytics solutions to drive business outcomes.

Preferred qualifications

• Proven analytical skills with data driven decision-making skills.
• Ability to manage large data sets, develop data pipelines.
• SQL programming skills. Python or R programming skills.
• Knowledge of vector databases, embedding models, LLM endpoints.
• Team player with excellent collaboration skills.
• Highly motivated and high level of energy and enthusiasm.
• Prior experience with cloud technologies will be a plus.

About the company