Production Systems – Who Needs Engineers
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Software Engineering RecruitmentWed, 18 Sep 2024 01:00:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngProduction Systems – Who Needs Engineers
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3232Machine Learning Engineer, Forecast Platform
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-forecast-platform-2/
Wed, 18 Sep 2024 01:00:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-forecast-platform-2/Machine Learning Engineer, Forecast Platform
Job Description:
Join our team to enhance the operational efficiency of our dynamic delivery logistics engine. As a Machine Learning Engineer focused on the Forecast Platform, you'll play a crucial role in refining the interaction between consumers, merchants, and delivery personnel. This position offers a unique chance to influence our business by developing predictive models that adapt to a fast-evolving operational landscape. You will collaborate with engineers, analysts, and product managers to create and improve machine learning models that serve millions of users, thereby tackling significant business challenges head-on. Your expertise will be pivotal in optimizing various aspects of our platform, including supply-demand matching, support demand predictions, and infrastructure scaling.
IT Languages:
Python
Scikit Learn
LightGBM
Spark MLLib
PyTorch
TensorFlow
As a Machine Learning Engineer, you will be responsible for the complete modeling lifecycle, from feature creation to model deployment and monitoring.:
Design and implement time-dependent statistical and machine learning models to address product needs across various business areas;; Manage the end-to-end modeling process including experimentation, monitoring, and explainability;; Contribute to the development of an internal forecasting self-service platform and repository;; Research and evaluate new tools and methodologies in the forecasting domain
Spoken Languages:
English
Skillset:
Machine Learning
Statistical Modeling
Data Analysis
Production Systems
Causal Inference
Operations Research
Forecasting
Soft Skills:
High-energy
Ownership
Humble
Adaptable
Growth-minded
Desire for impact
Qualifications:
M.S. in a relevant field with 3+ years of experience or PhD with 1+ year of experience in machine learning
Proven experience in developing statistical and machine learning models in production environments
Strong background in object-oriented programming and familiarity with machine learning libraries
Years of Experience:
3
Location:
Europe
Job Benefits:
Comprehensive healthcare package
401(k) plan with employer match
Paid time off
Paid parental leave
Wellness benefits
Disability and life insurance
Family-forming assistance
Commuter benefit match
Mental health program
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We are committed to fostering a diverse and inclusive workplace where every team member feels valued and empowered to contribute their unique perspectives. Our fast-paced environment encourages innovation and collaboration while prioritizing employee well-being and growth.
Opportunities For Advancement:
Career development programs, Leadership training, Mentorship opportunities