AI Engineer Needed to Develop Inventory Management Tasks AI Overview We are seeking a skilled AI engineer to implement a system for managing inventory on a website that does not provide an API. The goal is to emulate user interactions for inventory pricing based on a defined set of rules. We acknowledge that the objective here may be slightly out ahead of what is currently possible. Key Responsibilities The AI engineer will be tasked with developing an AI to: 1. Repricing Existing Inventory: Adjust prices of already listed items by a specified percentage or according to other predefined criteria. 2. Pricing New Inventory: Set prices for items that are newly added to the inventory and have not yet been priced. Project Details Users typically navigate through screens displaying approximately 100 inventory items per page. Each item includes a pricing field where the user manually enters a dollar amount. The AI's role will involve automating this process based on one or more of the following information and criteria: -change existing price based on a user defined percentage of the existing/current price - Availability of pricing data (e.g., retail price, wholesale price, competitive high and low prices). - Current inventory, specifically if the same item is already listed for sale by the user and its price. - Market exclusivity, determining if the user holds a monopoly on the item. - Adjustable weighting of different pricing factors, allowing the AI to make informed pricing decisions. - Ability to implement commands such as adjusting all prices by a certain percentage or repricing items within a specific price range. Additional Automation Opportunities There is potential to expand the AI's capabilities to automate other functions, including: - Managing offers on portfolios for sale. - Requesting items to be returned to the user based on specific criteria. - Real-time monitoring and adjusting of prices based on market dynamics. Candidate Requirements The ideal candidate will have both a command of current AI models and their capabilities and a strong background in AI and machine learning, with experience in developing systems that can emulate and automate web interactions. Proficiency in handling non-API based web environments is essential. Ask questions to understand scope fully

We are seeking a skilled NLP Data Science Researcher to join our team. As a researcher, you will be responsible for conducting research and analysis on natural language processing (NLP) techniques and algorithms. Your main focus will be on developing NLP models and strategies to extract insights from large datasets. Additionally, you will collaborate with cross-functional teams to implement and optimize NLP solutions. The ideal candidate should have a strong background in data science, machine learning, and NLP, with proficiency in programming languages such as Python or R. Strong analytical and problem-solving skills are essential. Skills required: - Natural Language Processing (NLP) - Data Science - Machine Learning - Python/R programming - Research and Analysis - Problem Solving

Need an independent e-commerce developer that can use standard products such as Magento but integrate it with necessary packages for SEO, Payments, AI/ML, Content Mgmt System etc.

Looking for a CoPilot AI engineer to help with a scoping project. I don't have much details, but willing to listen and pay for consulting services as advisory.

We are looking for an AI Data Scientist with expertise in Python to join our team. As an AI Data Scientist, you will be responsible for developing and implementing machine learning models and algorithms to extract valuable insights from large datasets. You should have a strong background in data science, with a deep understanding of statistical analysis, predictive modeling, and data visualization. The ideal candidate will have experience in natural language processing, computer vision, and deep learning frameworks. Responsibilities: - Develop and deploy AI models using Python and related libraries like Pandas, NumPy, and scikit-learn - Analyze and interpret complex data sets to identify patterns and trends - Collaborate with cross-functional teams to design and implement AI solutions - Stay updated with the latest advancements in AI and data science Requirements: - Proven experience as an AI Data Scientist - Strong proficiency in Python programming language - Solid understanding of machine learning techniques and algorithms - Knowledge of data preprocessing and feature engineering - Familiarity with deep learning frameworks such as TensorFlow or PyTorch - Excellent problem-solving and analytical skills - Effective communication and teamwork abilities If you are passionate about AI and have a solid background in data science, we would love to hear from you. This is a fantastic opportunity to work on cutting-edge AI projects and contribute to groundbreaking solutions in various industries.

We are seeking a highly skilled Sentiment Analysis Expert to join our team. As a Sentiment Analysis Expert, you will be responsible for analyzing large volumes of text data from various sources and extracting insights to understand customer sentiments. Your expertise in natural language processing and machine learning algorithms will be crucial in developing accurate sentiment analysis models. Responsibilities: - Develop and implement sentiment analysis algorithms - Clean and preprocess text data for analysis - Analyze sentiment patterns and trends - Provide actionable insights and recommendations based on analysis results Requirements: - Proven experience in sentiment analysis and natural language processing - Strong knowledge of machine learning algorithms - Proficiency in Python and related libraries (NLTK, scikit-learn) - Excellent analytical and problem-solving skills - Good communication and collaboration abilities Size: Medium Duration: 3 to 6 months Expertise: Expert

We are seeking individuals with advanced expertise in AI and its application to cybersecurity, particularly focusing on neural networks, high-performance computing (HPC), and other advanced data science technologies, frameworks, models, systems, human-machine interfaces, or applications. Subject Matter Experts (SMEs) will be expected to possess extensive knowledge and experience in AI and Machine Learning (ML) technologies, coupled with an extensive background in cybersecurity. Applicants in this role will participate in a series of workshops to design hiring assessment material, such as interviews and knowledge tests that will determine the proficiency of candidates. Some of the responsibilities of the AI SMEs will include: • Attend orientation and training meetings. • Attend and contribute to content development workshops. • Participate in regular and/or ad hoc status meetings. • Formulate and draft assessment scenarios (includes desk work or “homework” outside of workshop hours). • Write assessment items relevant to scenarios and specific technical capabilities and competencies. • Complete competency coverage and difficulty ratings on assessment items. • Revise scenarios and items based on feedback. The type of technical skills that we are looking for include: • Machine Learning Expertise: Demonstrated expertise in various machine learning techniques (e.g., supervised learning, unsupervised learning, anomaly detection) for analyzing cybersecurity data to identify threats, vulnerabilities, and suspicious activities. • Data Science Proficiency: Ability to understand, clean, and prepare large datasets for AI models, including network traffic logs, threat intelligence feeds, and security incidents. • Cloud Computing Knowledge: Familiarity with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure AI for training, deploying, and managing AI models. • Security Expertise: In-depth understanding of cybersecurity principles, attack vectors, and mitigation strategies to interpret AI findings and make informed security decisions. • Programming Languages: Proficiency in Python, R, or Java for model development and data analysis, with knowledge of specific security-focused libraries being advantageous. Qualifications: • Excellent communication skills, both oral and written, required. Must be able to convey technical information effectively to diverse audiences. • Advanced degrees and/or publications in relevant fields preferred. • U.S. citizenship required. Background check is required before starting work.

This is for help writing a DOT SBIR Phase 1 Grant Application. We're up against a tight deadline. The consultant we hired with grant funds has been less helpful than anticipated and we need our submission in by 5/10. A chunk of the early sections have been completed but there is much left to do. Please include references for any DOT specific grants you've helped clients secure. The specific grant outline will be attached for your reference. We will ask you to sign an NDA before in depth information about our project is revealed. Thanks!

I am training an AI model and need someone to use my pre made tool to read sections of lyrics, and classify them accordingly (Simply click the categories that apply). Native English speaking is required, as deep understanding of lyrics and their meaning is paramount. There are a total of 1660 phrases/verses to categorize.

I have public big data n= 645 plan to write manuscript Machine learning prediction model of health outcomes I need someone to do similar data analysis shown in the attached articles. lasso, random forest, machine learning logistic regression, Gradient boosting machine, support vector machine, ridge models, and showing the performance of each model with AUC, F1 score etc.