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Lead Machine Learning Engineer
Machine Learning Engineer
As a Lead Machine Learning Engineer, you will drive data-oriented decision-making, guide a team of data scientists, and collaborate cross-functionally to develop advanced analytical solutions. Your responsibilities include hands-on development and management of ML models and pipelines, enhancing ML infrastructure, and resolving production challenges to elevate products and services.
About the role
About Us
We are in search of an experienced and dynamic Lead Data Scientist to join our client's forward-thinking team. As the Lead Machine Learning Engineer, your pivotal role will involve propelling data-oriented decision-making throughout our organization. You will be responsible for guiding a team of skilled data scientists and collaborating with cross-functional groups to create advanced analytical solutions that provide actionable insights, elevating our products and services.
Key Responsibilities
- Actively engage in hands-on development, operationalization, and management of Machine Learning models and pipelines, aiming to enhance various Plaid products.
- Consistently suggest and craft novel features designed to elevate the performance of AI/ML models.
- Enhance the infrastructure for Machine Learning, fortifying the complete development lifecycle of ML solutions.
- Address and resolve production-related challenges pertaining to Machine Learning within a multi-service environment and across various system levels.
- Collaborate effectively with cross-functional partners, pinpointing prospects for business growth. Interpret, refine, and prioritize requisites for AI/ML models, steer engineering choices, and evaluate the quantifiable influence.
Key Requirements
- Hold a Master's degree (or PhD) in disciplines like Computer Science, AI, or any other related field.
- Accumulate 4+ years of hands-on experience within domains like search algorithms, NLP, recommender systems, ads algorithms, and related areas.
- Exhibit familiarity with one or more NLP/matching/ranking models, such as Bert, DSSM, LR, DIN, ESMM.
- Prior experience in a leadership role or leading a development team is required.
- Has experience in E-Commerce, Retail or Payments is a bonus.
Why Join Us?
- Opportunity to play a pivotal role in driving our client's regional growth strategy
- Collaborative and inclusive work culture that values innovation and diversity
- Competitive compensation package with performance-based bonuses
- Ongoing professional development and growth opportunities