Model evaluation – Who Needs Engineers
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Software Engineering RecruitmentMon, 14 Oct 2024 16:00:01 +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.pngModel evaluation – Who Needs Engineers
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3232AI Math Analyst
/jobs/emerging-technologies-and-specialized-roles/ai-math-analyst-9/
Mon, 14 Oct 2024 16:00:01 +0000/wne_live/jobs/jobs-categories/ai-math-analyst-9/AI Math Analyst
Job Description:
Join a cutting-edge team dedicated to enhancing artificial intelligence models through expert human feedback. We are seeking experienced Math Analysts to utilize their mathematical expertise in training generative AI models. This remote freelance position offers flexible working hours, allowing you to contribute your knowledge at your convenience. As an AI Math Analyst, your role will involve evaluating the accuracy and relevance of AI-generated text in specialized domains, creating and responding to mathematical inquiries, and assessing the quality of domain-specific outputs generated by AI systems. If you are passionate about mathematics and its application in the AI field, this is an exciting opportunity to make a meaningful impact.
IT Languages:
Python
R
MATLAB
As an AI Math Analyst, you will have various responsibilities that leverage your expertise in mathematics to facilitate the training of AI models.:
Assess the factual accuracy and relevance of domain-specific text produced by AI models.;; Craft and respond to mathematical questions to aid in model training.;; Evaluate and rank the quality of responses generated by AI models based on domain-specific criteria.
Spoken Languages:
English
Skillset:
Mathematics
Statistical analysis
Data interpretation
Model evaluation
Soft Skills:
Analytical thinking
Attention to detail
Effective communication
Problem-solving
Qualifications:
Bachelor’s degree or higher in Mathematics or a related field
Proven experience as a Math professional
Years of Experience:
5
Location:
United States
Job Benefits:
Flexible working hours
Remote work opportunity
Competitive pay rates
Incentive payments for certain projects
Working Conditions:
Remote
Employment Type:
Temporary Contract
Company Culture:
Our company fosters a collaborative and innovative environment where experts are encouraged to share their insights and contribute to the advancement of AI technologies. We value diversity and inclusivity, and we strive to create a supportive atmosphere for all team members to thrive.
Opportunities For Advancement:
Potential for higher pay rates based on expertise, Possibility of leading projects in the future, Opportunities to contribute to innovative AI solutions
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
/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
Visa Sponsorship:
Available
]]>Senior Applied Scientist – Content Visibility, ML
/jobs/emerging-technologies-and-specialized-roles/senior-applied-scientist-content-visibility-ml/
Tue, 24 Sep 2024 19:20:02 +0000/wne_live/jobs/jobs-categories/senior-applied-scientist-content-visibility-ml/Senior Applied Scientist – Content Visibility, ML
Job Description:
We are seeking a highly skilled Senior Applied Scientist specializing in Content Visibility and Machine Learning to join our innovative team. In this role, you will leverage your expertise in creating and optimizing machine learning models to enhance customer experiences and drive strategic decision-making. You will be responsible for designing fit-for-purpose ML solutions focusing on recommendation systems, reinforcement learning, and predicting customer behaviors. Your deep understanding of theoretical frameworks and practical applications in machine learning will be crucial in advancing our data science initiatives. You will actively contribute to impactful projects and collaborate with cross-functional teams to communicate findings and insights effectively to both technical and non-technical stakeholders, ensuring that your work aligns with our overall business goals.
IT Languages:
Python
TensorFlow
Keras
PyTorch
Spark SQL
As a Senior Applied Scientist, you will be tasked with leading machine learning projects and applications that significantly impact our customers and the business.:
Design and implement machine learning models for various applications;; Analyze and interpret complex datasets to derive actionable insights;; Collaborate with engineering teams to deploy models in scalable environments;; Communicate results and methodologies to diverse audiences;; Stay up-to-date with the latest advancements in machine learning and AI
Spoken Languages:
English;; German
Skillset:
Machine Learning
Deep Learning
Data Science
Statistical Analysis
Model Evaluation
Soft Skills:
Strong communication skills
Problem-solving mindset
Collaborative approach
Adaptability
Attention to detail
Qualifications:
Ph.D. or MSc in Machine Learning or Data Science or equivalent experience
Proven track record in developing machine learning models
Experience with deep learning architectures in production environments
Years of Experience:
5
Location:
Berlin, Berlin, Germany, EU
Job Benefits:
Competitive salary
Professional development opportunities
Flexible working hours
Health and wellness programs
Collaborative work environment
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of innovation and collaboration, valuing diverse perspectives and encouraging continuous learning. Our team thrives on creativity and a shared commitment to excellence, where every member is empowered to contribute ideas and drive change.
Opportunities For Advancement:
Career growth and development programs, Mentorship opportunities, Access to cutting-edge technology and resources
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