Machine Learning Engineer

• You develop proof-of-concept ML models to solve problems for a variety of data and domains, including entity resolution and linkage, deep learning for similarity learning and market time series forecasting.
• Building machine learning pipelines to deliver predictions in production, at scale.
• You work on the development of the Geophy Data Science computing platform in AWS, our CD4ML tools and model monitoring mechanisms.
• You contribute to decisions about our technology stack, particularly as it relates to end-to-end ML model and data flow and automation.
• Being a team player by constantly coordinating with the other disciplines to deliver excellent products
• Contributing to the Data Science Hub activities, supporting best practices, knowledge sharing and cross-functional initiatives.

What we’re looking for

• Creative and intellectually curious people with hands-on experience in Machine Learning engineering.
• Machine Learning experts, who use Occam’s razor principle as a compass to deliver their solutions and are versatile with respect to the techniques they use (from linear regression to deep learning, through ensembles, factorization machines and kernel machines).
• Rigorous engineers, which value building at scale and delivering at quality, and think of ML integration in software in terms of ML pipelines.
• Distributed computing enthusiasts, with good Spark knowledge and the ability to engineer features out of millions of datapoints.
• MLOPs fanatics, with a good understanding of existing tools to facilitate CI and CD for machine learning models
• Python users, with excellent knowledge of SQL.
• Generous, flexible team players.
• Amazing communicators who can convey the importance of their work to laypersons as well as peers.
• Full working proficiency in English.
• An MSc/PhD degree in Computer Science, Mathematics, Statistics or a related subject, or commensurate technical experience.

Bonus points for

• Hands on experience with orchestrating Machine Learning and big data services in AWS (Step Functions, Sagemaker, EMR, S3, Amazon Aurora, Amazon Athena).
• Experience with orchestrating production workflows in Apache Airflow.
• Knowledge of Scala.

What we’re offering

• You will have the opportunity to accelerate our rapidly growing organisation.
• We’re a lean team, so your impact will be felt immediately.
• Agile working environment with flexible working hours and location, career advancement, and competitive compensation package.
• GeoPhy is a family and pet friendly company.
• We arrange social activities to help our employees and families become familiar with each other and our culture.
• Diverse, unique colleagues from every corner of the world.