Operations Research – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Wed, 25 Sep 2024 11:20:03 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Operations Research – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Working Student / Data / Research Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/working-student-data-research-scientist/ Wed, 25 Sep 2024 11:20:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/working-student-data-research-scientist/ Working Student / Data / Research Scientist

Job Description:

    Join our dynamic team as a working student in the field of Data and Research Science. In this role, you will be immersed in a complex environment where our production and logistics networks are intricately interconnected. As a key part of our operations, you will be tasked with navigating the changing factors influencing these networks over time. Your primary focus will be on how to effectively and scalably implement cutting-edge concepts from machine learning, artificial intelligence, and operations research to optimize our supply chains and enhance vehicle manufacturing efficiency. This internship will provide you with the opportunity to identify planning decisions that can benefit from advanced techniques in machine learning and AI, as well as the chance to apply innovative optimization approaches to real-world challenges in production and logistics.

IT Languages:

  • Python

In this role, you will be responsible for various critical tasks that contribute to the optimization of our production and logistics systems.:

    Identify planning decisions suitable for machine learning, AI, or operations research approaches.;; Transfer established and innovative optimization strategies to specific use cases in production and logistics.;; Adapt these strategies to meet case-specific conditions, including modeling new constraints and improving calculation efficiency.;; Implement optimization models as scalable software components within agile teams.;; Provide proactive feedback for process improvement based on resulting optimization opportunities.

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Artificial Intelligence
  • Operations Research
  • Applied Statistics
  • Python
  • Scikit-Learn
  • Pytorch
  • Tensorflow
  • Gurobi
  • ML-Flow

Soft Skills:

  • High level of initiative
  • Teamwork
  • Communication skills

Qualifications:

  • Currently enrolled in a Bachelor’s or Master’s program in Machine Learning, Artificial Intelligence, Operations Research, Applied Statistics, Computer Science, Mathematics, Physics, Business Informatics, or related fields.
  • Experience in translating mathematical concepts into software components using programming languages.

Years of Experience:

    2

Location:

    Europe

Job Benefits:

  • Hands-on experience in a leading automotive company
  • Opportunity to work on cutting-edge technologies
  • Supportive team environment
  • Flexible working hours
  • Potential for career advancement post-internship

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • A collaborative and innovative atmosphere that encourages continuous learning and development. The company values proactive contributions and fosters a culture of teamwork and open communication.

Opportunities For Advancement:

  • Career development opportunities, Possibility of full-time employment after internship, Mentorship programs

Visa Sponsorship:

    Available
]]> Machine 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 +0000 https://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

Visa Sponsorship:

    Available
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