Model Training – Who Needs Engineers
/wne_live
Software Engineering RecruitmentTue, 08 Oct 2024 16:00:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngModel Training – Who Needs Engineers
/wne_live
3232Master's Thesis in Deep Learning
/jobs/emerging-technologies-and-specialized-roles/masters-thesis-in-deep-learning-2/
Tue, 08 Oct 2024 16:00:02 +0000/wne_live/jobs/jobs-categories/masters-thesis-in-deep-learning-2/Master's Thesis in Deep Learning
Job Description:
Join a prestigious research institution focused on innovative microsystem technology, where you will have the opportunity to immerse yourself in scientific research and development. We are seeking a motivated individual for a Master's thesis project in Deep Learning at our Villingen-Schwenningen location. This position allows you to work on cutting-edge technology and contribute to the advancement of artificial intelligence applications. You will engage in various tasks that include creating labels for data, training deep learning models, and analyzing data through advanced techniques. This role offers a unique chance to document and present your findings both internally and externally, fostering a collaborative environment for innovation.
IT Languages:
Python
C++
TensorFlow
Pytorch
As a Master’s thesis student, you will take on a variety of responsibilities that contribute to your learning and the success of our projects.:
Creating labels for datasets, including segmentation masks;; Training deep learning models and enhancing their performance;; Implementing model compression techniques for embedded devices;; Conducting data analysis and exploring data augmentation techniques;; Documenting findings and presenting results in a clear and engaging manner
Spoken Languages:
English;; German
Skillset:
Deep Learning
Data Analysis
Model Training
Machine Learning Techniques
Soft Skills:
Team-oriented
Proactive
Self-reliant
Reliable
Qualifications:
Currently enrolled in a Master’s program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or related engineering fields
Strong knowledge of programming languages such as Python, C++, TensorFlow, or Pytorch
Years of Experience:
0
Location:
Germany
Job Benefits:
Innovative work environment with a connection to industry
Flexible working hours and the possibility of remote work
Professional development through competent guidance and support
Health programs and team events participation
Meal subsidies in the cafeteria
Monthly support for public transport
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
A collaborative environment that encourages innovation, continuous learning, and professional growth. The institution values teamwork and proactive engagement among its members.
Opportunities For Advancement:
Potential for future employment opportunities, Exposure to various research projects, Networking opportunities in the field of AI and technology
Join a revolutionary team focused on redefining the future of transportation through innovative teledriving technology. As a Data Scientist, you will play a crucial role in analyzing and enhancing cellular network performance, predicting fleet behaviors, and forecasting demand within a rapidly evolving deep tech startup. Your work will directly contribute to the development, testing, and deployment of robust machine learning models that are essential for our remote driving solutions. You will have the opportunity to integrate these models into our existing systems, optimizing them for real-time performance and ensuring they continuously improve as we gather more data. This position is perfect for someone who is eager to dive into large datasets and is motivated to grow their data science expertise in a collaborative, dynamic, and fast-paced environment.
IT Languages:
Python
SQL
As a Data Scientist, your primary focus will be on creating and refining machine learning models.:
Develop machine learning models for cellular network analysis;; Integrate models into existing systems and optimize for performance;; Monitor and evaluate model performance, making improvements as necessary;; Analyze large datasets to extract actionable insights;; Collaborate with team members to enhance overall product development
Spoken Languages:
English;; German
Skillset:
Machine learning
Data analysis
Data preprocessing
Model training
Deployment
Soft Skills:
Problem-solving
Adaptability
Team collaboration
Initiative
Effective communication
Qualifications:
Strong foundation in mathematics and statistics
Experience with Python and SQL
Familiarity with machine learning libraries such as Scikit-learn and TensorFlow
Basic understanding of predictive modeling and data analysis
Years of Experience:
2
Location:
Europe
Job Benefits:
Stock options
Free German language classes
Healthy snacks and drinks
Team events throughout the year
International team environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The company fosters an innovative and collaborative environment where diversity is celebrated. Team members are encouraged to share their unique perspectives and work together towards common goals. The culture emphasizes trust, action, and a commitment to safety, allowing everyone to take initiative while providing support and mentorship.
Opportunities For Advancement:
Professional development programs, Mentorship opportunities, Potential for leadership roles
As a (Senior) AI/ML Engineer, you will be instrumental in shaping the future of AI and machine learning applications within the automotive sector. Your role will involve a deep dive into the development and enhancement of cutting-edge AI/ML-powered solutions designed for various automotive hardware and operating systems, including Android Automotive OS and Linux. You will be responsible for the entire lifecycle of software development, from conceptualization to deployment, ensuring that our in-vehicle infotainment systems are at the forefront of innovation. Your work will directly contribute to elevating the in-car experience for users across multiple car manufacturers worldwide. This is an exceptional opportunity to blend advanced technology with real-world applications, while continuously learning and adapting within a rapidly evolving industry.
IT Languages:
Python
C++
PyTorch
TensorFlow
In this pivotal position, you will engage in a variety of responsibilities centered around AI/ML model research and implementation. You will not only design and fine-tune ML models but also evaluate and select the appropriate software architecture that will fuel our next-generation automotive middleware solutions. Your insights will be crucial in selecting and customizing machine learning models that enhance the functionality of our infotainment systems, while also collaborating closely with prompt engineering and model training experts to establish effective training protocols. As the technology landscape evolves, you will also take the initiative to continuously improve our software stack, ensuring that it remains aligned with the latest advancements in machine learning.:
Conduct research and development of AI/ML models;; Design and select ML models for automotive applications;; Enhance the user experience of in-car infotainment systems;; Collaborate with cross-functional teams to implement ML solutions;; Refine and optimize existing machine learning models
Spoken Languages:
English;; German
Skillset:
NLP
Machine Learning
Deep Learning
Data Preprocessing
Model Training
Model Fine-tuning
Soft Skills:
Strong problem-solving abilities
Excellent communication skills
Ability to work collaboratively in a team
Adaptability to rapidly changing technologies
Qualifications:
Advanced degree in Computer Science, Engineering, or a related field
Strong background in Natural Language Processing, Machine Learning, and Deep Learning
Experience with state-of-the-art Transformer models and LLMs
Years of Experience:
5
Location:
Karlsruhe, Baden-Württemberg, Germany, EU
Job Benefits:
Competitive salary
Flexible working hours
Opportunity for remote work
Access to continuous learning and development programs
Health and wellness benefits
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of innovation and collaboration, encouraging our team members to think creatively and challenge the status quo. Our workplace values diversity and inclusion, and we are committed to providing an environment where every employee can thrive and contribute to cutting-edge projects.
Opportunities For Advancement:
Career growth within the AI/ML domain, Leadership opportunities in project management, Possibility of transitioning to senior technical roles
Visa Sponsorship:
Available
]]>Master's Thesis in Deep Learning
/jobs/emerging-technologies-and-specialized-roles/masters-thesis-in-deep-learning/
Sun, 22 Sep 2024 03:20:02 +0000/wne_live/jobs/jobs-categories/masters-thesis-in-deep-learning/Master's Thesis in Deep Learning
Job Description:
Join us for an exciting opportunity to delve into the world of artificial intelligence through your master's thesis focused on deep learning. At our innovative research institute, you will gain exclusive insights into cutting-edge scientific research and practical applications in microsystems technology. You will be part of a dynamic team dedicated to transforming ideas into cross-industry solutions, from conception to manufacturing. This role offers you the chance to work on diverse tasks such as creating data labels, training deep learning models, and exploring data augmentation techniques, all while contributing to innovative projects that have real-world impact.
IT Languages:
Python
C++
TensorFlow
PyTorch
As a master’s thesis student, you will engage in various responsibilities that will enhance your research and technical skills in deep learning.:
Creating labels for data, including segmentation masks.;; Training deep learning models to improve performance.;; Implementing model compression techniques for deployment on embedded devices.;; Conducting data analysis to derive meaningful insights.;; Investigating various data augmentation strategies.;; Documenting your findings and presenting results both internally and externally.
Spoken Languages:
English;; German
Skillset:
Deep Learning
Data Analysis
Model Training
Data Augmentation
Documentation
Soft Skills:
Reliability
Independence
Teamwork
Proactive mindset
Qualifications:
Currently enrolled in a master’s program in technical computer science, applied AI, embedded systems, media informatics, or a related engineering discipline.
Strong background in programming with languages such as Python, C++, TensorFlow, or PyTorch.
Years of Experience:
0
Location:
Villingen-Schwenningen, Baden-Württemberg, Germany, EU
Job Benefits:
Innovative work environment within a modern research institute connected to the industry.
Diverse career opportunities during and after your study period.
Flexible working hours with the possibility of remote work.
Professional development and mentoring from experienced staff.
Participation in health programs and team events.
Subsidized meals in the cafeteria.
Monthly transportation allowance for public transit.
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
We foster a collaborative and innovative culture that encourages creativity and professional growth. Our team is committed to pushing boundaries in research and development, providing a supportive environment for young talents to thrive.
Opportunities For Advancement:
Potential for further research opportunities post-thesis., Career development programs within the organization.