Pattern Recognition – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentSat, 26 Oct 2024 17:30:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngPattern Recognition – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Artificial Intelligence Researcher
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/artificial-intelligence-researcher/
Sat, 26 Oct 2024 17:30:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/artificial-intelligence-researcher/Artificial Intelligence Researcher
Job Description:
As an Artificial Intelligence Researcher intern, you will have the exciting opportunity to delve deep into the world of artificial intelligence and data science. Your primary focus will be on conducting thorough research to advance the understanding and application of AI algorithms, pattern recognition, and data analytics. You will collaborate with a dynamic team to explore innovative solutions that enhance our cutting-edge social platform, which aims to create a vibrant community for users to discover brands and connect with peers. The ideal candidate will have a passion for AI, combined with strong analytical capabilities and the ability to communicate insights effectively. This internship not only allows you to gain practical experience in the field of AI but also offers a chance to contribute to meaningful projects that impact our users' experiences.
IT Languages:
Python
R
Java
SQL
The responsibilities of the Artificial Intelligence Researcher intern will include conducting research, analyzing data, and developing innovative AI solutions.:
Conduct research on various artificial intelligence techniques and algorithms;; Analyze and interpret data to identify patterns and trends;; Collaborate with the engineering team to integrate AI models into existing systems;; Present findings and insights to stakeholders and team members;; Develop prototypes and proof-of-concept applications to demonstrate AI capabilities
Spoken Languages:
English
Skillset:
machine learning
data science
pattern recognition
statistical analysis
Soft Skills:
strong analytical skills
problem-solving abilities
effective communication
team collaboration
independence in work
Qualifications:
pursuing or completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field
strong foundation in computer science principles
proficiency in pattern recognition and data science methodologies
experience with machine learning and AI algorithms
Years of Experience:
0
Location:
United States
Job Benefits:
mentorship from experienced professionals
opportunity to work on cutting-edge AI projects
flexibility for remote work
dynamic and collaborative work environment
Working Conditions:
Hybrid
Employment Type:
Internship
Company Culture:
We foster a culture of innovation and collaboration, encouraging our team members to think creatively and share ideas. Our environment is supportive and dynamic, where every voice is valued and contributions are recognized. We prioritize continuous learning and professional development, ensuring that our team stays at the forefront of technological advancements.
Opportunities For Advancement:
potential full-time positions after the internship, networking opportunities within the tech industry, access to workshops and training sessions
Visa Sponsorship:
Available
]]>ML Engineer with focus on NLP/LLMs
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ml-engineer-with-focus-on-nlp-llms-2/
Tue, 24 Sep 2024 03:20:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/ml-engineer-with-focus-on-nlp-llms-2/ML Engineer with focus on NLP/LLMs
Job Description:
We are seeking a highly skilled Machine Learning Engineer who specializes in Natural Language Processing and Large Language Models to join our dynamic team. In this role, you will take the lead in developing and implementing advanced NLP models and LLMs, delving deep into feedback data to uncover meaningful patterns that drive actionable insights. Your expertise will not only enhance the capabilities of our MIGO Feedback Hub but also contribute to transforming the way businesses interpret and respond to feedback from customers and employees. This is a full-time hybrid position based in Mainz, where you will collaborate with a diverse team of professionals dedicated to fostering an environment of integrity, learning, and curiosity.
IT Languages:
Python
TensorFlow
PyTorch
scikit-learn
As a Machine Learning Engineer, your primary responsibilities will include designing, developing, and maintaining cutting-edge AI services that facilitate both text and image analysis as well as generative AI capabilities. You will integrate AI services into our AI Service Factory to enable rapid prototyping and seamless incorporation into our MIGO platform. You will also be tasked with training and optimizing machine learning models for various applications, including but not limited to text classification and sentiment analysis.:
Design and develop AI services for text and image analysis;; Integrate AI services into the AI Service Factory;; Develop, train, and optimize machine learning models;; Prepare and preprocess data for machine learning tasks;; Evaluate model performance and refine models;; Conduct research on machine learning techniques
Spoken Languages:
English;; German
Skillset:
Pattern Recognition
Neural Networks
Algorithms
NLP Models
LLMs Optimization
Data Analysis
Soft Skills:
Strong problem-solving skills
Analytical thinking
Excellent communication skills
Team collaboration abilities
Qualifications:
Strong foundation in machine learning algorithms and techniques
Proficiency in Python and popular machine learning libraries
Experience with natural language processing tasks
Understanding of computer vision techniques
Knowledge of data preprocessing and model evaluation techniques
Master’s or PhD in Computer Science, Engineering, or related field
Years of Experience:
5
Location:
Mainz, Rhineland-Palatinate, Germany, EU
Job Benefits:
Learning opportunities through mentorship and career advancement
Competitive salary and benefits package
Virtual stock options
Collaborative and agile work environment
Impactful work with innovative solutions
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
Our company culture is defined by a commitment to integrity, a passion for learning, and a customer-centric approach. We value curiosity and encourage our team members to explore new ideas that can lead to innovative solutions. We foster a collaborative environment where young professionals can thrive and contribute meaningfully to our goals.
Opportunities For Advancement:
Career advancement through continuous learning and mentorship, Exposure to cutting-edge projects and technologies, Possibilities for research and publication in relevant fields