Feature engineering – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Thu, 24 Oct 2024 05:30:02 +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 Feature engineering – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Machine Learning Engineer (The AI Innovator) https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-the-ai-innovator-2/ Thu, 24 Oct 2024 05:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-the-ai-innovator-2/ Machine Learning Engineer (The AI Innovator)

Job Description:

    Are you driven by a deep passion for artificial intelligence and the transformative power of machine learning? Our client seeks a talented Machine Learning Engineer, also known as The AI Innovator, to harness the latest machine learning techniques to tackle significant real-world challenges. In this role, you will have the opportunity to build intelligent models that inform data-driven decision-making and enhance innovative product offerings. Your primary focus will be on designing, implementing, and optimizing machine learning models that effectively leverage data to unlock new possibilities.

IT Languages:

  • Python
  • R
  • Java

As a Machine Learning Engineer, your responsibilities will encompass a wide range of tasks aimed at developing and maintaining robust machine learning models that support business objectives.:

    Design and develop machine learning models using TensorFlow, PyTorch, or Scikit-learn for various applications including recommendation systems and predictive analytics.;; Collaborate with data engineers to collect, clean, and preprocess large datasets, ensuring they are ready for model training.;; Train machine learning models and conduct hyperparameter tuning to enhance performance and accuracy, experimenting with different algorithms.;; Deploy machine learning models into production environments, building APIs, and ensuring seamless integration with existing systems.;; Continuously monitor and maintain deployed models, retraining or fine-tuning them to adapt to new data and maintain relevance.;; Work closely with cross-functional teams to identify opportunities for machine learning solutions that align with business goals.;; Stay updated with the latest advancements in AI and machine learning technologies to bring innovative ideas to the team.

Spoken Languages:

  • English

Skillset:

  • Machine Learning Algorithms
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Data Manipulation
  • Feature Engineering
  • Model Deployment
  • Cloud Platforms
  • Docker
  • Kubernetes

Soft Skills:

  • Problem-solving
  • Team collaboration
  • Adaptability
  • Effective communication
  • Critical thinking

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • Certifications or advanced coursework in AI, machine learning, or data science

Years of Experience:

    3

Location:

    San Francisco, CA, United States

Job Benefits:

  • Comprehensive medical, dental, and vision insurance plans
  • Competitive vacation and sick leave policies
  • Flexible work schedules and telecommuting options
  • Professional development opportunities and certification reimbursement
  • Access to wellness programs including gym memberships
  • Life insurance and short/long-term disability coverage
  • Confidential counseling and support services
  • Tuition reimbursement for continuing education
  • Opportunities for community engagement and volunteering
  • Employee recognition programs

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters an innovative and collaborative environment where creativity and problem-solving are valued. Team members are encouraged to pursue continuous learning and share ideas that drive advancements in technology.

Opportunities For Advancement:

  • Career advancement programs, Mentorship opportunities, Training and development workshops

Visa Sponsorship:

    Available
]]> AI Trainer (The Model Whisperer) https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ai-trainer-the-model-whisperer/ Mon, 21 Oct 2024 21:30:02 +0000 https://whoneedsengineers.com/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
]]> Machine Learning Engineer 2 https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-2-2/ Tue, 01 Oct 2024 05:15:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-2-2/ Machine Learning Engineer 2

Job Description:

    Join a dynamic and innovative team as a Machine Learning Engineer, where you will collaborate closely with a group of talented data scientists. In this position, you will play a pivotal role in the development, coding, and large-scale deployment of data science models utilizing cutting-edge tools and technologies. Your primary responsibilities will include data wrangling, feature engineering, model development, and evaluating metrics to ensure the effectiveness of your models. You will be tasked with not only creating prototype models but also taking these models to production, ensuring they are scalable and efficient for customer use. As you enhance existing models, you will delve into the specifics of algorithm implementations to optimize performance and reduce training times. You will also have opportunities to develop new tools designed to alleviate challenges within the data science workflow, such as improving data processing speeds and managing data more effectively. This role provides a fantastic opportunity to leverage your technical skills while working in a collaborative environment.

IT Languages:

  • Python
  • R
  • SQL

As a Machine Learning Engineer, your responsibilities will encompass a wide range of tasks aimed at transforming raw data into actionable insights through machine learning models.:

    Discover and access various data sources, ensuring the data is clean and prepared for machine learning applications;; Collaborate with data scientists to create and refine features from data, building efficient pipelines for model training and deployment;; Work alongside data scientists to design, implement, and refine machine learning algorithms and other analytical models;; Conduct regular A/B testing and statistical analyses to assess the impact of models and make data-driven decisions;; Engage in cross-functional teamwork with product managers, data scientists, and product engineers, effectively communicating results and findings;; Explore and analyze new technological advancements to evaluate their potential benefits for customer solutions

Spoken Languages:

  • English;; Spanish;; French

Skillset:

  • Data Wrangling
  • Feature Engineering
  • Machine Learning Algorithms
  • Model Evaluation
  • Data Processing

Soft Skills:

  • Team Collaboration
  • Problem Solving
  • Effective Communication
  • Analytical Thinking

Qualifications:

  • BS, MS, or PhD degree in Computer Science or a related field
  • Equivalent practical experience in a relevant field
  • Proficiency in data science tools and frameworks such as Python, Scikit-learn, NLTK, Numpy, Pandas, TensorFlow, Keras, R, and Spark
  • Basic understanding of machine learning techniques including classification, regression, and clustering

Years of Experience:

    3

Location:

    New York, NY, United States

Job Benefits:

  • Health Insurance
  • Retirement Plan
  • Paid Time Off
  • Professional Development Opportunities
  • Flexible Work Hours

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters an inclusive and supportive work environment that encourages innovation and continuous learning. Team members are valued for their unique perspectives and contributions, and collaboration is at the heart of the company's success.

Opportunities For Advancement:

  • Career Development Programs, Mentorship Opportunities, Leadership Training, Cross-Departmental Projects

Visa Sponsorship:

    Available
]]> AI / ML Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/ai-ml-engineer-4/ Tue, 01 Oct 2024 03:15:01 +0000 https://whoneedsengineers.com/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

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/ Mon, 23 Sep 2024 11:20:02 +0000 https://whoneedsengineers.com/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

Visa Sponsorship:

    Available
]]> AIML Rapid Development Studio Intern https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/aiml-rapid-development-studio-intern/ Mon, 16 Sep 2024 11:00:02 +0000 https://whoneedsengineers.com/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

Visa Sponsorship:

    Available
]]> Internship – Machine Learning Engineer & Data Science https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/internship-machine-learning-engineer-data-science/ Mon, 16 Sep 2024 07:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/internship-machine-learning-engineer-data-science/ Internship – Machine Learning Engineer & Data Science

Job Description:

    Join an innovative team dedicated to leveraging machine learning, data science, and artificial intelligence to revolutionize sports training and management. In this role, you will play a crucial part in designing, developing, and implementing machine learning models that address real business challenges in the sports domain. Your analytical prowess will be put to the test as you extract valuable insights from data, guiding the direction of AI-driven projects. This internship is tailored for individuals who excel in dynamic, team-oriented environments, possess a knack for problem-solving through technology, and enjoy articulating their findings and solutions to various audiences.

IT Languages:

  • Python
  • R
  • PyTorch
  • SQL
  • pandas
  • Spark

You will be responsible for developing and deploying machine learning models, optimizing workflows, and collaborating with various stakeholders to ensure alignment with business needs.:

    Build and maintain scalable machine learning models to tackle key business problems;; Translate client requirements into effective machine learning solutions;; Monitor and enhance model performance through continuous assessment;; Create data pipelines to prepare datasets for training and analysis;; Utilize data science methodologies to generate insights and enhance predictive capabilities;; Communicate findings and model outcomes effectively to both technical and non-technical stakeholders;; Research and adopt the latest machine learning tools and techniques for ongoing improvement;; Collaborate with cross-functional teams to achieve strategic objectives

Spoken Languages:

  • English

Skillset:

  • Machine Learning
  • Data Science
  • Model Deployment
  • Data Wrangling
  • Feature Engineering
  • Cloud Platforms

Soft Skills:

  • Strong communication skills
  • Team collaboration
  • Problem-solving
  • Analytical thinking

Qualifications:

  • Education in Data Science, Computer Science, Engineering, Statistics or related fields is preferred
  • Proficiency in machine learning frameworks and programming languages

Years of Experience:

    0

Location:

    Europe

Job Benefits:

  • Competitive base salary
  • Performance-based bonuses
  • Equity or options potential
  • Comprehensive medical, dental, and vision insurance
  • 401k retirement plan
  • Collaborative workspace with unlimited coffee and healthy snacks

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • A dynamic and innovative environment focused on excellence and pushing the boundaries of AI in sports technology.

Opportunities For Advancement:

  • Potential for full-time employment after internship, Possibility to work on diverse projects in the sports tech field

Visa Sponsorship:

    Available
]]> Junior Machine Learning Engineer https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/junior-machine-learning-engineer/ Sun, 15 Sep 2024 17:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/junior-machine-learning-engineer/ Junior Machine Learning Engineer

Job Description:

    We are seeking a motivated and enthusiastic Junior Machine Learning Engineer to join our dynamic team. In this role, you will have the opportunity to dive deep into the world of machine learning, participating in the development and implementation of innovative solutions. You will work closely with experienced engineers and data scientists to understand project requirements and contribute to exciting projects that drive the future of our platform. This position offers a unique chance to enhance your technical skills in a collaborative environment, while also gaining practical experience that is essential for your career development in the ever-evolving field of machine learning.

IT Languages:

  • Python
  • Java
  • C++

As a Junior Machine Learning Engineer, you will be responsible for various tasks that are crucial to the development of machine learning models and solutions.:

    Collaborate with senior engineers and data scientists to gather project requirements;; Assist in collecting, preprocessing, and analyzing data to identify patterns;; Implement and optimize machine learning models and algorithms;; Participate in model evaluation, validation, and performance tuning;; Contribute to the development of existing machine learning infrastructure;; Stay updated on the latest advancements in machine learning;; Document technical processes and outcomes effectively

Spoken Languages:

  • English;; German;; French

Skillset:

  • Machine learning algorithms
  • Statistical concepts
  • Data preprocessing
  • Feature engineering
  • Model evaluation techniques

Soft Skills:

  • Strong problem-solving skills
  • Excellent communication abilities
  • Adaptability and willingness to learn
  • Team collaboration skills
  • Self-motivation

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field
  • Solid understanding of machine learning fundamentals and algorithms
  • Proficiency in programming languages such as Python, Java, or C++
  • Familiarity with machine learning frameworks and libraries, including TensorFlow, PyTorch, or scikit-learn
  • Experience with data preprocessing and feature engineering

Years of Experience:

    1

Location:

    Europe

Job Benefits:

  • Remote working options
  • Professional development opportunities
  • Collaborative team environment
  • Access to cutting-edge technology
  • Flexible working hours

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • The company fosters a culture of innovation and continuous learning, encouraging employees to share knowledge and collaborate on projects. Team members are valued for their contributions, and there is a strong emphasis on personal and professional growth.

Opportunities For Advancement:

  • Career progression within the machine learning field, Opportunities to work on advanced projects, Participation in workshops and conferences

Visa Sponsorship:

    Available
]]>