Data preprocessing – Who Needs Engineers
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Software Engineering RecruitmentMon, 21 Oct 2024 21:30:02 +0000en-US
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1 https://wordpress.org/?v=6.6.2/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngData preprocessing – Who Needs Engineers
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3232AI Trainer (The Model Whisperer)
/jobs/emerging-technologies-and-specialized-roles/ai-trainer-the-model-whisperer/
Mon, 21 Oct 2024 21:30:02 +0000/wne_live/jobs/jobs-categories/ai-trainer-the-model-whisperer/AI Trainer (The Model Whisperer)
Job Description:
Are you passionate about guiding artificial intelligence systems to think, learn, and evolve? Do you relish the challenge of training AI models to interpret and respond to intricate data sets, converting raw data into actionable insights? If you find joy in fine-tuning algorithms and enhancing the capabilities of AI systems, we have an exciting opportunity for you. We are seeking an AI Trainer, known affectionately as The Model Whisperer, to spearhead the development, training, and optimization of machine learning models that will propel our AI solutions into the future. In this pivotal role, you will collaborate closely with data scientists, machine learning engineers, and product teams to build, train, and refine AI models. Your expertise will be essential in ensuring that these models not only function with precision but also continue to evolve as they encounter new data. Whether your focus is on natural language processing, computer vision, or predictive analytics, you will be at the cutting edge of creating advanced, resilient AI systems.
IT Languages:
Python
TensorFlow
PyTorch
Scikit-learn
As an AI Trainer, you will be responsible for a variety of tasks that contribute to the overall success of our AI initiatives.:
Design, build, and train machine learning models across various applications such as image recognition and recommendation engines.;; Lead the data collection and labeling process to ensure high-quality input for AI models.;; Experiment with diverse model architectures and optimization techniques to enhance model performance.;; Continuously monitor and evaluate the performance of models in production, addressing any performance drift.;; Work collaboratively with cross-functional teams to integrate AI models into products and services effectively.;; Document training processes, model architectures, and performance metrics for internal knowledge sharing.;; Stay informed on the latest advancements in AI and machine learning to ensure our approaches remain innovative.
Spoken Languages:
English;; German;; French
Skillset:
Machine Learning
Data Preprocessing
Feature Engineering
Optimization Techniques
Soft Skills:
Strong communication skills
Team collaboration
Problem-solving
Adaptability
Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
Certification in AI, machine learning, or data science is a plus
Years of Experience:
5
Location:
San Francisco, CA, United States
Job Benefits:
Comprehensive medical, dental, and vision insurance
Paid Time Off including vacation and sick leave
Flexible work schedules and telecommuting options
Opportunities for training and certification reimbursement
Access to wellness programs and gym memberships
Life and disability insurance coverage
Employee Assistance Program for personal and professional support
Tuition reimbursement for continuing education
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster an innovative and collaborative environment where continuous learning is encouraged. Our team values diversity and inclusion, creating a supportive space for all employees to thrive and contribute their unique perspectives.
Opportunities For Advancement:
Career advancement programs, Leadership training opportunities, Access to mentorship programs
Visa Sponsorship:
Available
]]>AI / ML Engineer
/jobs/emerging-technologies-and-specialized-roles/ai-ml-engineer-4/
Tue, 01 Oct 2024 03:15:01 +0000/wne_live/jobs/jobs-categories/ai-ml-engineer-4/AI / ML Engineer
Job Description:
We are seeking a seasoned AI / ML Engineer with over ten years of experience in designing, developing, and deploying advanced machine learning models to address complex business challenges. The ideal candidate will collaborate closely with cross-functional teams to gather requirements and understand business goals, ensuring that AI and ML solutions are effectively aligned with organizational objectives. The role will involve exploring and experimenting with innovative machine learning techniques, frameworks, and libraries to enhance model performance and accuracy. You will also be responsible for optimizing and scaling machine learning algorithms to efficiently process large datasets, while conducting thorough testing and validation to maintain the highest quality and reliability of our AI and ML models. Staying current with the latest advancements in artificial intelligence and machine learning technologies is essential for success in this position.
IT Languages:
Python
TensorFlow
PyTorch
scikit-learn
The key responsibilities of the AI / ML Engineer include the following::
Design, develop, and implement machine learning models and algorithms to solve real-world business problems;; Collaborate with stakeholders to gather requirements and define project objectives;; Experiment with new machine learning techniques and frameworks to enhance model capabilities;; Optimize machine learning algorithms for performance and scalability;; Conduct comprehensive testing and validation of AI/ML models
Spoken Languages:
English
Skillset:
Machine learning algorithms
Data preprocessing
Feature engineering
Model evaluation
Cloud platforms (AWS, Azure, Google Cloud)
Soft Skills:
Excellent problem-solving skills
Attention to detail
Strong communication skills
Ability to work collaboratively in a team environment
Qualifications:
Bachelor’s or Master’s degree in computer science, engineering, mathematics, or a related field
Strong proficiency in Python programming
Experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn
Solid understanding of various machine learning algorithms and techniques
Years of Experience:
10
Location:
United States
Job Benefits:
Health insurance
Retirement plan
Professional development opportunities
Flexible working hours
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a collaborative and innovative atmosphere that encourages continuous learning and professional growth. Our team values diversity, creativity, and a commitment to excellence in all our endeavors.
Opportunities For Advancement:
Leadership roles in AI/ML projects, Opportunities to work on cutting-edge technologies, Mentorship and training programs
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
Visa Sponsorship:
Available
]]>Student Assistant for Machine Learning in Time Series
/jobs/emerging-technologies-and-specialized-roles/student-assistant-for-machine-learning-in-time-series/
Wed, 25 Sep 2024 03:20:02 +0000/wne_live/jobs/jobs-categories/student-assistant-for-machine-learning-in-time-series/Student Assistant for Machine Learning in Time Series
Job Description:
The Fraunhofer Institute for Graphical Data Processing is a pioneer in visual computing and has been setting standards for over three decades. We integrate computer graphics and computer vision, forming the basis of all our technological solutions. With approximately 210 colleagues across three locations, we support the German economy in its strategic development and provide concrete technological solutions. We are currently seeking students to join our Machine Learning Time Series (MLZ) team as research assistants. In this role, you will assist the MLZ team in analyzing and processing time series data from various company sources. Your contributions will play a crucial role in developing and refining predictive models, enhancing forecasting capabilities and decision-making processes. Working with real data will provide you with invaluable practical experience in applying machine learning techniques to address complex business challenges.
IT Languages:
Python
NumPy
Pandas
scikit-learn
TensorFlow
PyTorch
In this role, you will be involved in various tasks related to machine learning and data analysis.:
Assisting in the application of machine learning algorithms for analyzing and predicting time series data;; Supporting the development and optimization of predictive models using Python;; Preprocessing large datasets for machine learning applications;; Participating in team activities such as code reviews and version control using GitLab;; Engaging in agile project meetings and team discussions
Spoken Languages:
English;; German
Skillset:
Machine Learning
Data Analysis
Predictive Modeling
Python Programming
Data Preprocessing
Soft Skills:
Attention to detail
Structured and independent working style
High commitment and sense of responsibility
Team-oriented and strong communication skills
Qualifications:
Knowledge in computer science, data science, or related fields
Experience in programming with Python using popular data analysis libraries such as NumPy and Pandas
Years of Experience:
1
Location:
Rostock, Mecklenburg-West Pomerania, Germany, EU
Job Benefits:
Innovative work environment with supportive colleagues
Opportunity to participate in research-oriented team projects
Insight into the development and optimization of machine learning models
Work based on industry standards for machine learning practices and data science
Fair compensation for your efforts
Flexible working hours
Working Conditions:
Part Time
Employment Type:
Internship
Company Culture:
We value and promote the diversity of our employees' skills and welcome all applications regardless of age, gender, nationality, ethnic and social origin, religion, belief, disability, sexual orientation, and identity.
Opportunities For Advancement:
Hands-on experience in machine learning and data science, Networking opportunities with professionals in the field, Potential pathways to future employment within the organization
We are seeking a highly skilled Freelance Machine Learning Engineer to join our dynamic team. In this role, you will work remotely within Germany to develop and implement innovative machine learning solutions tailored to meet the specific needs of our clients. You will collaborate closely with clients to fully understand their project requirements and goals, ensuring that the machine learning models and algorithms you create are both effective and efficient. Your expertise will be critical in optimizing machine learning pipelines, conducting thorough testing and validation to guarantee model accuracy and reliability. Throughout the project lifecycle, you will provide essential technical guidance and support to clients, delivering clear updates on progress and addressing any challenges that arise.
IT Languages:
Python
R
Java
As a Machine Learning Engineer, you will be responsible for a variety of tasks aimed at delivering high-quality machine learning solutions.:
Collaborate with clients to understand project requirements;; Design and implement custom machine learning models and algorithms;; Optimize machine learning pipelines for better scalability and efficiency;; Conduct rigorous testing and validation of models to ensure accuracy;; Provide ongoing technical support and guidance to clients;; Communicate project progress, challenges, and outcomes effectively
Spoken Languages:
English;; German
Skillset:
Machine Learning techniques
Data preprocessing
Model evaluation
TensorFlow
PyTorch
Soft Skills:
Excellent communication skills
Problem-solving mindset
Team collaboration
Adaptability
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
Proven experience in developing and deploying machine learning models
Years of Experience:
5
Location:
Europe
Job Benefits:
Flexible working hours
Remote work options
Opportunity to work on diverse projects
Access to the latest technologies
Working Conditions:
Remote
Employment Type:
Temporary Contract
Company Culture:
Our company fosters a collaborative and innovative environment, encouraging continuous learning and professional growth. We value diversity and strive to create inclusive teams that leverage different perspectives to drive success.
Opportunities For Advancement:
Potential for long-term contracts, Opportunity to lead future projects, Access to professional development resources
We are seeking a talented Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for developing and implementing innovative machine learning models and algorithms designed to tackle complex business challenges. Your expertise will be critical in collaborating with various cross-functional teams to gain insights into project requirements and to design scalable solutions that deliver real value. You will also have the opportunity to conduct extensive research to explore cutting-edge techniques, algorithms, and tools in the field of machine learning. Additionally, you will build and deploy comprehensive machine learning pipelines encompassing data preprocessing, feature engineering, and model training. A key part of your role will involve optimizing and fine-tuning models to ensure high performance, scalability, and efficiency. You will continuously monitor and evaluate model performance, iterating on improvements to enhance accuracy and reliability, ensuring that our systems remain at the forefront of technology.
IT Languages:
Python
TensorFlow
PyTorch
scikit-learn
The following tasks will be part of your responsibilities::
Develop and implement machine learning models and algorithms;; Collaborate with cross-functional teams to understand and fulfill project requirements;; Conduct research to explore new techniques and tools in machine learning;; Build and deploy machine learning pipelines for data preprocessing and feature engineering;; Optimize and fine-tune models for performance and efficiency;; Monitor model performance and iterate on improvements
Spoken Languages:
English;; German
Skillset:
Machine Learning
Data Science
Algorithm Development
Model Optimization
Data Preprocessing
Soft Skills:
Strong problem-solving skills
Ability to work collaboratively in a team environment
Proactive attitude towards learning new technologies
Effective communication skills
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Proven experience in developing and deploying machine learning models in production environments
Solid understanding of machine learning concepts, algorithms, and techniques
Years of Experience:
5
Location:
Europe
Job Benefits:
Flexible working hours
Remote work opportunities
Access to professional development resources
Collaborative and innovative work environment
Working Conditions:
Remote
Employment Type:
Contract
Company Culture:
The company fosters a culture of innovation and collaboration, encouraging employees to explore new ideas and push the boundaries of technology. The team is passionate about leveraging AI and machine learning to create impactful solutions, and values continuous learning and professional growth.
Opportunities For Advancement:
Potential for contract renewal, Opportunities to lead projects, Pathway to permanent positions
Visa Sponsorship:
Not Available
]]>ML Engineer with focus on NLP/LLMs
/jobs/emerging-technologies-and-specialized-roles/ml-engineer-with-focus-on-nlp-llms/
Mon, 23 Sep 2024 11:20:02 +0000/wne_live/jobs/jobs-categories/ml-engineer-with-focus-on-nlp-llms/ML Engineer with focus on NLP/LLMs
Job Description:
We are seeking a dedicated ML Engineer with a specialization in Natural Language Processing and Large Language Models to join our innovative team. In this role, you will be at the forefront of transforming feedback into meaningful insights that drive better business decisions and enhance overall satisfaction for both customers and employees. Your primary focus will be on developing and implementing advanced NLP models and LLMs, analyzing intricate patterns within feedback data, and enhancing the AI-driven insights provided by our MIGO Feedback Hub. You will collaborate closely with cross-functional teams to ensure the integration of AI services that deliver high-quality results. This position offers a unique opportunity to work on cutting-edge projects that leverage AI technologies to make a significant impact in the industry.
IT Languages:
Python
TensorFlow
PyTorch
scikit-learn
As a ML Engineer at our company, you will be responsible for a variety of critical tasks that contribute to the development of AI services and models.:
Design, develop, and maintain AI services for text and image analysis;; Integrate AI services into our AI Service Factory for rapid prototyping;; Develop, train, and optimize machine learning models for various tasks;; Prepare and preprocess data for machine learning tasks, including feature extraction;; Evaluate model performance using appropriate metrics and refine for improvement;; Conduct research and experimentation to explore new machine learning techniques
Spoken Languages:
English;; German
Skillset:
Natural Language Processing
Machine Learning
Deep Learning
Data Preprocessing
Feature Engineering
Soft Skills:
Strong problem-solving skills
Analytical thinking
Effective communication
Collaboration
Qualifications:
Master’s or PhD in Computer Science, Engineering, or related field
Strong foundation in machine learning algorithms and techniques
Experience in NLP tasks such as text classification and sentiment analysis
Proficiency in Python and popular machine learning libraries
Years of Experience:
5
Location:
Mainz, Rhineland-Palatinate, Germany, EU
Job Benefits:
Mentorship and career advancement opportunities
Competitive salary and benefits package
Virtual stock options
Innovative and impactful work environment
Working Conditions:
Hybrid
Employment Type:
Full-time
Company Culture:
We foster an agile and collaborative culture where curiosity and learning are valued. Our team thrives in a fun working environment that encourages innovation and the exploration of new ideas.
Opportunities For Advancement:
Mentorship programs, Career growth through cutting-edge projects, Exposure to advanced AI technologies
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
Join an innovative team that is redefining the future of transportation through teledriving technology. As a Data Scientist, you will be instrumental in developing, testing, and deploying machine learning models designed to analyze cellular network performance, predict fleet behavior, and forecast demand in the burgeoning field of remote driving. Your expertise will help integrate these models into existing systems, ensuring they perform optimally in real-time scenarios. You will also play a key role in monitoring model performance, gathering essential data, and contributing to continuous improvement efforts. If you are passionate about data and eager to explore the depths of machine learning in a dynamic startup environment, this opportunity is tailored for you.
IT Languages:
Python
SQL
As a Data Scientist, you will be responsible for a variety of tasks that contribute to the advancement of our remote driving technology.:
Develop machine learning models to analyze network performance;; Predict fleet behavior and forecast demand based on data insights;; Integrate models into existing systems and optimize for real-time performance;; Monitor model performance and collect data for continuous improvement
Spoken Languages:
English;; German
Skillset:
Machine Learning
Data Analysis
Predictive Modeling
Data Preprocessing
Soft Skills:
Problem-solving
Adaptability
Collaboration
Initiative
Qualifications:
Strong foundation in mathematics and statistics
Proficiency in Python and SQL
Familiarity with machine learning libraries such as Scikit-learn or TensorFlow is a plus
Desire to work with large datasets and learn more about data preprocessing and model training
Years of Experience:
3
Location:
Berlin, Germany, EU
Job Benefits:
Join a diverse international team from over 30 countries
Participate in team events throughout the year
Enjoy healthy snacks, drinks, and coffee at the office
Company stock options
Free German classes
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Our culture thrives on pioneering change, fostering collaboration, driving action, building trust, and creating magic. We embrace challenges with innovative solutions, celebrate diversity, and encourage open communication. Everyone is empowered to take initiatives, and we prioritize safety and respect in our interactions.
Opportunities For Advancement:
Professional development in machine learning, Opportunities to work on groundbreaking projects, Career growth within a fast-paced startup environment
Visa Sponsorship:
Available
]]>AIML Rapid Development Studio Intern
/jobs/emerging-technologies-and-specialized-roles/aiml-rapid-development-studio-intern/
Mon, 16 Sep 2024 11:00:02 +0000/wne_live/jobs/jobs-categories/aiml-rapid-development-studio-intern/AIML Rapid Development Studio Intern
Job Description:
Join our team as an intern in the AIML Rapid Development Studio, where you will have the unique opportunity to engage in hands-on projects that contribute to the advancement of medical knowledge through artificial intelligence and machine learning. This 12-week remote internship is designed for individuals eager to apply their academic knowledge in a practical setting, working alongside industry experts. You will participate in a collaborative environment focused on research, innovation, and the deployment of cutting-edge AI/ML solutions that have a direct impact on the healthcare industry. Your contributions will support various client engagement projects, enhancing your understanding of AI/ML technologies while developing your technical and problem-solving skills in real-world applications.
IT Languages:
Python
R
Java
As an intern, you will play a crucial role in supporting various initiatives within the AIML Rapid Development Studio. Your responsibilities will encompass several key areas related to machine learning and AI applications.:
Assist in data collection, cleaning, and organization for machine learning projects;; Participate in the design and development of machine learning models, including experimentation with algorithms;; Collaborate with team members to create prototypes of AI/ML solutions and validate models through testing;; Conduct research on the latest trends in AI/ML and summarize findings for application in ongoing projects;; Explore and evaluate new AI/ML tools and frameworks to recommend for integration into workflows;; Work closely with cross-functional teams to support the implementation of AI/ML initiatives;; Maintain documentation of project activities, including data pipelines and experimental results;; Engage in continuous learning to stay updated on industry advancements
Spoken Languages:
English
Skillset:
Machine learning algorithms
Data structures
Data preprocessing
Feature engineering
Cloud computing
AI frameworks
Soft Skills:
Team collaboration
Effective communication
Adaptability
Problem-solving
Creativity
Qualifications:
Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Strong foundational knowledge in machine learning algorithms and data structures
Experience with programming languages such as Python, R, or Java
Familiarity with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn
Basic understanding of data preprocessing and feature engineering techniques
Exposure to cloud computing platforms such as AWS, Google Cloud, or Azure
Strong analytical and problem-solving abilities with a keen interest in AI/ML research
Years of Experience:
0
Location:
Europe
Job Benefits:
Remote work flexibility
Hands-on experience in a cutting-edge field
Networking opportunities with industry experts
Professional development workshops
Potential future career opportunities
Working Conditions:
Remote
Employment Type:
Internship
Company Culture:
We foster an innovative and collaborative work environment where creativity and critical thinking are encouraged. Our team is dedicated to professional growth, empowering employees to make impactful contributions to the healthcare industry. We value diversity and inclusion, ensuring that all voices are heard and respected.
Opportunities For Advancement:
Access to mentorship programs, Possibility of full-time employment upon internship completion, Exposure to various projects in the healthcare sector