drjobs Working Student Machine Learning Engineer mwd العربية

Working Student Machine Learning Engineer mwd

Employer Active

1 Vacancy
The job posting is outdated and position may be filled
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Berlin - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your mission

Who we are looking for

We are looking for people who have a deep enthusiasm for technological innovations. You should have a keen interest in understanding endtoend machine learning lifecycles. You should also be a collaborative team player with excellent communication skills and the ability to work effectively with crossfunctional teams.

Tasks

  • Apply your knowledge in structuring unstructured textual data and machine learning techniques that leverage our unique firmographics data
  • Implement innovative scalable machine learning models that can be used in production
  • Share your fresh perspective on best practices in engineering with regard to design and coding
  • Be a selfstarter eager to learn and motivated by a passion for developing the best possible solutions to problems
  • Closely collaborate with a talented crossfunctional team of other machine learning data science MLOps and software engineers to bring your models to life.

Your profile

Required:

  • Currently enrolled in either a bachelors or masters degree in computer science computational linguistics statistics engineering or a related field
  • Experience working with machine learning (ML) and deep learning (DL) models through academic projects or internships in a related industry.
  • Good working knowledge of Python and common ML frameworks and tools libraries data structures and data modeling
  • Stay uptodate with stateoftheart ML breakthroughs models and architectures

Nice to have:

  • Experience with natural language processing (NLP) techniques and large language models (LLMs) e.g. prompt engineering finetuning and language model programming.
  • Experience with knowledge graphs (RDF or property graphs)

Why us

Who we are

delphai is in one of the most exciting startup phases: Over the past three years we have developed our software and brand while creating relationships with wellknown international organizations (e.g. ABB Volkswagen and Siemens). Our proprietary software suite uses stateoftheart machine learning and natural language processing to sift through a wealth of big data on technology business and market developments to help decisionmakers make more and better decisions faster.

delphai allows users to thrive in their industries by revealing their best partners future customers and key competitors. delphai is a highly automated company data integration machine. Our software makes accessing and understanding tailored market data as easy as using a search engine but built for B2B.

Benefits

  • High level of responsibility and autonomy: You will have the opportunity to take ownership of projects and initiatives with the support of a collaborative team and a steep learning curve to develop your skills further.
  • Flat hierarchies and short decision paths: Our organizational structure is designed to promote collaboration innovation and fast decisionmaking with a flat hierarchy and short decision paths.
  • Flexible working arrangements: We recognize the value of flexibility and offer flexible working hours to support our employees diverse needs and lifestyles

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.