Job description

As a Machine Learning Engineer at Pollen, you will support us to improve the quality of our data and build AI models to solve liquidation pains, so our customers like L'Oréal and Unilever can avoid throwing away millions of tonnes of usable FMCG goods that otherwise could go to families in need of discounted goods.

If you care about building products with lasting impact - helping our business leaders and partners make sustainable decisions in reducing business waste, we look forward to working with you!

Primary Responsibilities

• Applies supervised and unsupervised learning techniques for solving pattern recognition problems (detection, classification, regression).

• Maintain and improve machine learning models in production and build new ones.

• Understands and interprets data to come up with optimal feature sets.

• Prepares datasets to train and validate models.

• Deploys the machine learning algorithms into our production environment.

• Documents and presents the work completely and consistently.

Must-Have Skills

• At least 3 years of experience in Machine Learning / Data Science / Data Engineering.

• Proven Experience in Data Engineering and building ETL pipelines.

• Good knowledge and proven experience in supervised/unsupervised learning in different applications: image recognition, classification, recommendation, etc.

• Proven experience in starting projects and working closely with stakeholders to integrate your models into real-world applications

• Proven experience in deploying and maintaining Machine Learning algorithms in production.

• Solid programming skills in Python

• Knowledge and experience with AWS & GCP

• Good knowledge of building Data Warehouse/Lake from scratch

• Knowledge of databases (SQL and NoSQL).

• Experience in early-stage startups or building things from scratch is highly desirable

Work Schedule

Time: 8 hours/day or 40 hours/week. We work on a Hybrid arrangement of 2 days remote, 3 days from the office.

Prefer candidate that can have at least 5 hours overlap with GMT+8 timezone (Singapore Standard Time).

Office Location: at WeWork Prestige Atlanta, Bangalore, India

Benefits

1. Mental Health Holidays (once every month)

2. Opportunity to work in diverse and global team set up

3. Flexible work hours and WFH/WFO options. Required at least 5 hours overlap with GMT +8

4. Employee refer-and-earn bonus

5. Annual Leave of up to 20 days / year