Top Machine Learning Jobs

The Task:

1. Fine-tune an LLM to understand solidity source code and vulnerabilities in solidity source code

2. Further fine-tune to make the LLM specialize in a single type of vulnerability and identify its line number/function in the source code

3. Build a quality assurance model to remove false positives from the specialize LLM

4. Host the pipeline on AWS (we need to send a http request from our server to an endpoint that triggers inference on a vulnerability given the entire source code and we need to get a response with the vulnerability and line number or null if not found in the source code)

5. Ensure high accuracy and low false-positive rate

Timeline & Expectations:

- This task should be completed in 1-2 weeks.

- You will work closely with our core team via slack and if you are located in San Francisco, we would love to work with you in person

- We will answer any questions promptly as they arise via Slack

- Further work is likely if we work together effectively as a team and we find you going above and beyond expectations

About YOU:

We are looking for someone who is…

- Experienced in designing, developing and deploying machine learning models to solve business needs

- Skilled at researching and implementing state-of-the-art ML algorithms including LLMs and RL

- Excited to solve complex cybersecurity problems using various ML techniques

Responsibilities:

- Produce and implement viable ML architectures to detect vulnerabilities in smart contracts

- Train and host models in AWS

- Collaborate with the software engineering team to ensure smooth integration of production ML algorithms

- Stay up-to-date with industry trends and advancements in ML-driven vulnerability detection in smart contracts

Qualifications:

- Proven experience deploying large-scale machine learning models into production

- Exceptional problem-solving skills, which will enable you to navigate complex problems and find effective solutions

- Ideally an MS or Ph.D in Machine Learning, Artificial Intelligence or a related field

- Ideally 5 years of experience in machine learning, deep learning, or a related field

The Task:

1. Fine-tune an LLM to understand solidity source code and vulnerabilities in solidity source code

2. Further fine-tune to make the LLM specialize in a single type of vulnerability and identify its line number/function in the source code

3. Build a quality assurance model to remove false positives from the specialize LLM

4. Host the pipeline on AWS (we need to send a http request from our server to an endpoint that triggers inference on a vulnerability given the entire source code and we need to get a response with the vulnerability and line number or null if not found in the source code)

5. Ensure high accuracy and low false-positive rate

Timeline & Expectations:

- This task should be completed in 1-2 weeks.

- You will work closely with our core team via slack and if you are located in San Francisco, we would love to work with you in person

- We will answer any questions promptly as they arise via Slack

- Further work is likely if we work together effectively as a team and we find you going above and beyond expectations

About YOU:

We are looking for someone who is…

- Experienced in designing, developing and deploying machine learning models to solve business needs

- Skilled at researching and implementing state-of-the-art ML algorithms including LLMs and RL

- Excited to solve complex cybersecurity problems using various ML techniques

Responsibilities:

- Produce and implement viable ML architectures to detect vulnerabilities in smart contracts

- Train and host models in AWS

- Collaborate with the software engineering team to ensure smooth integration of production ML algorithms

- Stay up-to-date with industry trends and advancements in ML-driven vulnerability detection in smart contracts

Qualifications:

- Proven experience deploying large-scale machine learning models into production

- Exceptional problem-solving skills, which will enable you to navigate complex problems and find effective solutions

- Ideally an MS or Ph.D in Machine Learning, Artificial Intelligence or a related field

- Ideally 5 years of experience in machine learning, deep learning, or a related field

Responsibilities:

Collaborate with clients to understand their business goals and provide data-driven solutions.

Design, develop, and deploy machine learning models, utilizing advanced statistical modeling techniques.

Clean, preprocess, and transform data, creating robust data pipelines for efficient handling of large-scale datasets.

Integrate Al/ML models into production systems and ensure their seamless deployment.

Develop visually compelling data visualizations.

Stay up-to-date with the latest advancements in AI, ML and Data Science.

Requirements:

Bachelor's or advanced degree in Computer Science, Data Science, Statistics, or a related field.

Proven minimum 3 vears experience as a Data Scientist

Strong foundation in Al/ML engineering and hands-on experience in deploying machine learning models.

Proficiency in programming languages (Python or R), libraries and frameworks (e.g., TensorFlow, PyTorch).

Proficient in data cleaning, preprocessing, and feature engineering for high-quality datasets.

Familiarity with algorithms such as regression, classification and time series forecasting.

Ability to translate complex data into compelling visual stories.

Benefits

§ Salary in SGD

Fully Work From Home flexibility

Responsibilities:

Collaborate with clients to understand their business goals and provide data-driven solutions.

Design, develop, and deploy machine learning models, utilizing advanced statistical modeling techniques.

Clean, preprocess, and transform data, creating robust data pipelines for efficient handling of large-scale datasets.

Integrate Al/ML models into production systems and ensure their seamless deployment.

Develop visually compelling data visualizations.

Stay up-to-date with the latest advancements in AI, ML and Data Science.

Requirements:

Bachelor's or advanced degree in Computer Science, Data Science, Statistics, or a related field.

Proven minimum 3 vears experience as a Data Scientist

Strong foundation in Al/ML engineering and hands-on experience in deploying machine learning models.

Proficiency in programming languages (Python or R), libraries and frameworks (e.g., TensorFlow, PyTorch).

Proficient in data cleaning, preprocessing, and feature engineering for high-quality datasets.

Familiarity with algorithms such as regression, classification and time series forecasting.

Ability to translate complex data into compelling visual stories.

Benefits

§ Salary in SGD

Fully Work From Home flexibility

Hello!

I am excited to share two long-term project opportunities on behalf of our clients based in the US. I am on the lookout for passionate and dedicated individuals.

1. Data Science Project

Scope: Dive into multiple datasets, perform Exploratory Data Analysis (EDA), and craft cutting-edge machine learning models that can predict outcomes effectively.

Requirements: A solid understanding of statistical models, data preprocessing techniques, and machine learning algorithms. Familiarity with tools such as Python, R, TensorFlow, or similar is a plus.

More Info: Specific project details, goals, and datasets will be shared with selected candidates.

2. AI Gaming Project

Scope: Develop an Artificial Intelligence model using techniques such as Deep Reinforcement Learning, Convolutional Neural Networks (CNN), and Autoencoders to master and play a custom made video game.

Application Process:

If either of these projects aligns with your expertise, we'd love to hear from you! Please apply by sharing:

A brief summary of your relevant experience.

Information about similar projects you've successfully completed in the past.

Any other credentials or achievements that you believe would add value to your application.

Looking forward to potentially working together. Thank you for considering this opportunity.

Warm regards,

Vincent

Hello!

I am excited to share two long-term project opportunities on behalf of our clients based in the US. I am on the lookout for passionate and dedicated individuals.

1. Data Science Project

Scope: Dive into multiple datasets, perform Exploratory Data Analysis (EDA), and craft cutting-edge machine learning models that can predict outcomes effectively.

Requirements: A solid understanding of statistical models, data preprocessing techniques, and machine learning algorithms. Familiarity with tools such as Python, R, TensorFlow, or similar is a plus.

More Info: Specific project details, goals, and datasets will be shared with selected candidates.

2. AI Gaming Project

Scope: Develop an Artificial Intelligence model using techniques such as Deep Reinforcement Learning, Convolutional Neural Networks (CNN), and Autoencoders to master and play a custom made video game.

Application Process:

If either of these projects aligns with your expertise, we'd love to hear from you! Please apply by sharing:

A brief summary of your relevant experience.

Information about similar projects you've successfully completed in the past.

Any other credentials or achievements that you believe would add value to your application.

Looking forward to potentially working together. Thank you for considering this opportunity.

Warm regards,

Vincent

Job Description:

We actively pursuing the integration of a state-of-the-art AI chatbot to streamline and elevate our client interactions. We're seeking an experienced AI Chatbot Developer who can craft a solution that not only automates interactions but also captures the essence of human communication, resonating warmth, understanding, and precision.

Primary Objectives:

*Development of an AI chatbot that can be integrated into WhatsApp and Telegram.

*Incorporation of machine learning for the chatbot to evolve and provide better responses over time.

*Creation of a bot with a focus on multi-turn conversations, context comprehension, and human-like interactions.

*Multilingual capabilities to cater to our diverse clientele.

*Seamless transition options for clients to engage with a human representative when needed.

*Implementation of robust content moderation mechanisms.

Key Responsibilities:

*Design & Development: Create an AI-powered chatbot tailored for WhatsApp and Telegram platforms. The chatbot should provide personalized responses, assist with inquiries, and ensure a seamless user experience.

*Natural Language Processing: Utilize advanced NLP capabilities to effectively decipher and respond to user queries.

*System Integration: Synchronize the chatbot with existing systems and databases to pull relevant data when required.

*Customization: Adapt the chatbot's conversational flow and responses depending on the user's inputs and history.

*Context Handling: Ensure the bot comprehends context, manages multi-turn dialogues, and offers precise and beneficial responses.

*Error Management: Incorporate error handling and fallback strategies for unpredictable user interactions.

*Continuous Improvement: Regularly enhance chatbot performance through algorithm fine-tuning and the infusion of machine learning techniques.

*Testing: Carry out rigorous testing and debugging to pinpoint and address any inconsistencies or issues.

*Stakeholder Collaboration: Work closely with internal teams to collect requirements and refine chatbot functionality based on feedback.

We value proactive communication, a keen eye for detail, and a passion for pushing the boundaries of what AI can achieve in terms of human-like interactions.

If you're eager to take on a project that aims to redefine the standard of chatbot interactions and have the expertise to realize this vision, we'd love to hear from you.

i am looking for someone who can write a python script to be able to Detect VIP player from casino with the use of machine learning under Python.

so for instance criteria of VIP player would be player that lost 1000 during last 30 days and or players who lost 500 each months for 3 months of more.

so the script should be able to see the pattern of current VIP based on daily amount wagered, daily loss / gain, frequency of days played, game table used, game limit played, etc.

and predict which current player will become VIP next month?

i am looking for someone who can write a python script to be able to Detect VIP player from casino with the use of machine learning under Python.

so for instance criteria of VIP player would be player that lost 1000 during last 30 days and or players who lost 500 each months for 3 months of more.

so the script should be able to see the pattern of current VIP based on daily amount wagered, daily loss / gain, frequency of days played, game table used, game limit played, etc.

and predict which current player will become VIP next month?

Machine Learning Engineer (ML Engineer) - Immediate Start, Long-Term Position

We seek an experienced ML Engineer with language processing experience to join our dynamic team. This is an exciting opportunity for a self-motivated individual looking to contribute to a growing project. This is a remote, long-term position with immediate availability.

Key Responsibilities:

Work closely with Azure DevOps, Spacy 3, Python, Prodigy, Weights and Biases, and other tools for building and deploying ML models.

Handle database migrations, data versioning (DVC), and data preparation (including PostgreSQL, SQL, Text and Python).

Model training, evaluation, and implementation using various language models, including Azure OpenAI.

Collaborate on Git/GitFlow, utilise Makefile, and work with Jupyter Notebooks.

Join daily standups and manage tasks through DevOps Tickets.

Qualifications:

Hands-on experience working with a team of 5-7 members.

Strong communication skills and working effectively in a collaborative environment.

Stable internet connection and suitable equipment for video conferencing.

Familiarity with data prep tools such as Postgres, SQL, Text, and Python.

Proven experience with training and evaluating models.

Application Instructions:

Please include a description of your latest project and the tools you used. Respond with "I love Apples" to confirm that you have read and understood the job requirements. Incomplete or spam applications will not be considered.

We encourage you to apply if you are a dedicated professional passionate about machine learning and have the required skills and experience. This is a unique opportunity to contribute to a significant project and work with a talented team. Apply now!

Machine Learning Engineer (ML Engineer) - Immediate Start, Long-Term Position

We seek an experienced ML Engineer with language processing experience to join our dynamic team. This is an exciting opportunity for a self-motivated individual looking to contribute to a growing project. This is a remote, long-term position with immediate availability.

Key Responsibilities:

Work closely with Azure DevOps, Spacy 3, Python, Prodigy, Weights and Biases, and other tools for building and deploying ML models.

Handle database migrations, data versioning (DVC), and data preparation (including PostgreSQL, SQL, Text and Python).

Model training, evaluation, and implementation using various language models, including Azure OpenAI.

Collaborate on Git/GitFlow, utilise Makefile, and work with Jupyter Notebooks.

Join daily standups and manage tasks through DevOps Tickets.

Qualifications:

Hands-on experience working with a team of 5-7 members.

Strong communication skills and working effectively in a collaborative environment.

Stable internet connection and suitable equipment for video conferencing.

Familiarity with data prep tools such as Postgres, SQL, Text, and Python.

Proven experience with training and evaluating models.

Application Instructions:

Please include a description of your latest project and the tools you used. Respond with "I love Apples" to confirm that you have read and understood the job requirements. Incomplete or spam applications will not be considered.

We encourage you to apply if you are a dedicated professional passionate about machine learning and have the required skills and experience. This is a unique opportunity to contribute to a significant project and work with a talented team. Apply now!

We are seeking a highly motivated and skilled software engineer to join our dynamic and forward-thinking tech team. As a key member of our team, you will play a crucial role in developing cutting-edge software solutions that push the boundaries of technology and innovation.

Key Responsibilities:

Collaborate with cross-functional teams to design, develop, and implement software applications that meet business needs and industry standards.

Participate in the entire software development lifecycle, from concept and design to testing, deployment, and maintenance.

Write efficient, maintainable, and well-documented code while adhering to coding standards and best practices.

Identify and address technical challenges, troubleshoot issues, and optimize application performance.

Stay up-to-date with the latest industry trends, technologies, and best practices to continuously enhance our products.

Contribute to architectural discussions and decisions, and provide valuable insights to improve software design and functionality.

Qualifications:

Bachelor's degree in Computer Science, Software Engineering, or related field (Master's degree preferred).

Proven experience in software development, including designing, coding, testing, and debugging.

Proficiency in programming languages such as Java, Python, C++, or similar languages.

Strong understanding of software development principles, data structures, and algorithms.

Familiarity with software development methodologies, version control systems, and agile practices.

Excellent problem-solving skills and the ability to adapt to new technologies and challenges.

Effective communication skills to collaborate with team members, stakeholders, and clients.

Additional Skills (Preferred but not required):

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and microservices architecture.

Knowledge of web development technologies (HTML, CSS, JavaScript) and frameworks (React, Angular, Vue).

Familiarity with DevOps practices and tools for continuous integration and continuous deployment.

Background in machine learning, artificial intelligence, or natural language processing.

Join us in our innovative journey as we create software solutions that impact industries and shape the future of technology. This is an exciting opportunity to work in a fast-paced environment, collaborate with talented professionals, and contribute to projects that make a difference. If you are passionate about software engineering and eager to grow in a challenging yet rewarding role, we encourage you to apply.

Please submit your resume, a cover letter detailing your relevant experience, and any relevant project portfolios or code samples with your application.

Location: [Specify location or mention if remote work is possible]

Type: Full-time

Application Deadline: [Specify deadline]

[Include information about company values, benefits, and any other pertinent details about the company culture or expectations.]

We are seeking a skilled AI / Computer Vision / OpenCV Developer to work on hour project quickly.

***Must be able to start right away and available during this weekend.***

Requirements:

- Strong proficiency in AI, computer vision, and image processing concepts and techniques.

- In-depth knowledge and experience with OpenCV, deep learning frameworks (e.g., TensorFlow, PyTorch), and related libraries.

- Proficiency in programming languages such as Python, C++, or Java.

- Experience in developing and implementing computer vision algorithms for object detection, recognition, tracking, and image segmentation.

- Familiarity with machine learning techniques, including supervised and unsupervised learning.

- Strong problem-solving skills and ability to think creatively to develop innovative solutions.

- Good communication and collaboration skills to work effectively in a team environment.

***Must be able to start right away and available during this weekend.***

Objective: This project's objective is to create a machine learning model that can predict a patient's risk of heart failure based on their medical history, lifestyle choices, and other pertinent data.

Objective: This project's objective is to create a machine learning model that can predict a patient's risk of heart failure based on their medical history, lifestyle choices, and other pertinent data.

Seeking Upwork Experts for User Research

Number of HIRES: 15-20, Already hired 6 on a previous job.

How to Apply: No lengthy proposals are needed. Simply apply with your Upwork profile. If the profile has great ratings and success rate, I'll drop in the contract and we can schedule a 30 min interview.

Overview:

We are in the process of developing a cutting-edge tool designed to streamline and automate the Upwork job research and bidding process. Our vision is to enhance and automate the business development (BD) process without resorting to spam techniques.

What we're looking for:

Upworkers or BDM's who manage profiles or are owners in areas such as Web/Mobile Development, Machine Learning, and Generative AI. However, professionals from other domains are also encouraged to apply.

Beta User Opportunity - Beyond the interview, selected participants may also be offered the chance to become Beta Users of our tool, potentially gaining free access.

Do Join us in this exciting journey to redefine and amplify the business development process on Upwork. We eagerly await your application. Thank you!

Please take your time to read everything and take a look at the attachements, its few files i already created

We are seeking an experienced machine learning developer to build a telemetry data analytics system for iRacing. The candidate will work closely with our racing team to develop a model capable of suggesting optimal car setups based on track conditions and past performances.

Responsibilities:

Analyze and clean a vast telemetry data set (35GB+ so far).

Collaborate with me to understand specific needs and key performance indicators (KPIs) related to iRacing.

Build and test various machine learning models, such as RandomForestRegressor, to predict racing performances.

Integrate the model with an existing database containing information about races, drivers, cars, and setups.

Provide comprehensive documentation and support for the implementation and usage of the model.

Required Skills:

Experience with Python and related libraries (pandas, scikit-learn, etc.).

Experience in handling and analyzing large data sets.

Knowledge of machine learning techniques and model evaluation methods.

Ability to work independently and as part of a team.

(Optional) Knowledge of the racing domain and telemetry, specifically in the context of iRacing.

Contract Details:

Contract Type: Freelance / Fixed-Term Contract

Contract Duration: To be discussed (e.g., 3 months)

Hourly Rate: To be negotiated (e.g., 15-25 USD/h, depending on experience and location)

How to Apply:

Please send your resume, a relevant work sample, and a brief cover letter explaining why you are a good fit for this position.

Job Title: AI Freelancers Wanted for Healthcare Transformation

Description:

Are you passionate about harnessing AI's potential to revolutionize healthcare and dentistry? Join our visionary AI agency as we embark on a mission to transform patient experiences through cutting-edge chatbot development, natural language processing, machine learning, and data analysis. As a dedicated freelancer, you'll play a vital role in creating AI applications that enhance patient care, streamline administrative tasks, and pave the way for a brighter future in healthcare.

Target Industries: Health and dental

Value Proposition for Freelancers:

Meaningful Impact: Collaborate on AI projects that directly impact healthcare, helping patients have a better experience with health institutions.

Cutting-Edge Expertise: Sharpen your AI skills by working on projects that push the boundaries of technology and innovation.

Industry Involvement: Contribute to positive change in the healthcare sector and gain recognition for your valuable contributions.

Flexible Collaboration: Participate in regular meetings and updates, fostering effective communication and collaboration.

Expected Tasks and Responsibilities:

Freelancers will be responsible for a range of tasks, including:

Designing and developing AI-driven chatbots for patient engagement.

Implementing natural language processing for efficient data analysis and interaction.

Applying machine learning algorithms to improve diagnostics and treatment options.

Conducting data analysis to uncover insights and trends within health data.

Required Skills and Expertise:

We're seeking freelancers with expertise in at least one of the following:

Programming languages such as Python or Java.

AI frameworks like TensorFlow or PyTorch.

Data visualization tools for meaningful insights.

Chatbot development.

AI-powered applications.

Preferred Experience:

While freelancers of all experience levels are welcome, a background in AI, healthcare, or dental projects is preferred. A portfolio demonstrating relevant projects is highly regarded.

Communication and Collaboration:

Clear and open communication is essential. We'll hold regular virtual meetings for progress updates, brainstorming, and alignment with clients' needs.

Compensation and Payment:

Compensation will be project-based and competitive, tailored to the scope and complexity of each project.

Timeline and Deadlines:

Specific project timelines and deadlines will be established for effective planning and successful project execution.

Vision:

Our AI agency envisions a future where healthcare experiences are enhanced through the power of AI. By joining us, you're contributing to this vision and making a lasting impact on patient interactions and overall well-being.

Looking for someone who is an expert in web scraping data from Twitter (X). Initial requirement is to provide the scraped data, next is to teach the client on how to scrape the data. Last is to help in the required analysis including data pre-processing and data cleaning, use of machine learning techniques to come up with a model for sentiment analysis, and compare the different machine learning techniques to come up with the best model. The topic is sentiment analysis in suicide in the Philippines. The requirement is not just web scraping but also completing the corresponding analysis from the data that will be scraped. If you would like to apply, please share how you intend to provide your solution and your current expertise in web scraping and machine learning techniques with data analysis.

I am seeking to commission a machine learning developer with expertise in data analysis and pattern recognition to create a solution for identifying “cookie-cutter home” neighborhoods. This project aims to leverage property listing data to detect patterns and trends indicative of standardized home designs within specific regions.

Project Overview:

Objective: To develop a machine learning model that can analyze and cluster similar property listings, identifying neighborhoods with cookie-cutter homes.

Data Source: The model will utilize data from platforms like Zillow (or other specified sources) and may require integration with relevant APIs.

Key Metrics: The analysis should consider attributes such as builder name, square footage, year built, number of bedrooms and bathrooms, architectural style, geographic proximity, and other relevant characteristics.

Output: The model should categorize and group identified properties into clusters, e.g., “Group A” with 13 similar homes, “Group B” with 22 similar homes, etc.

Requirements:

Data Collection: Automate the collection of relevant property listing data through APIs.

Preprocessing and Analysis: Clean and preprocess the data to analyze the key metrics that define cookie-cutter homes.

Model Development: Create a machine learning model capable of identifying and clustering similar property listings.

Validation and Verification: Implement validation steps to ensure accuracy and reliability.

Reporting and Visualization: Provide tools or dashboards to visualize and interpret the findings.

Compliance: Adhere to all relevant legal and ethical guidelines, including privacy and terms of service of the data providers.

Please provide your thoughts on the approach, a proposed methodology, estimated timelines, and a detailed quotation. Additionally, examples of similar work you have done would be helpful to understand your capabilities.

I am seeking to commission a machine learning developer with expertise in data analysis and pattern recognition to create a solution for identifying “cookie-cutter home” neighborhoods. This project aims to leverage property listing data to detect patterns and trends indicative of standardized home designs within specific regions.

Project Overview:

Objective: To develop a machine learning model that can analyze and cluster similar property listings, identifying neighborhoods with cookie-cutter homes.

Data Source: The model will utilize data from platforms like Zillow (or other specified sources) and may require integration with relevant APIs.

Key Metrics: The analysis should consider attributes such as builder name, square footage, year built, number of bedrooms and bathrooms, architectural style, geographic proximity, and other relevant characteristics.

Output: The model should categorize and group identified properties into clusters, e.g., “Group A” with 13 similar homes, “Group B” with 22 similar homes, etc.

Requirements:

Data Collection: Automate the collection of relevant property listing data through APIs.

Preprocessing and Analysis: Clean and preprocess the data to analyze the key metrics that define cookie-cutter homes.

Model Development: Create a machine learning model capable of identifying and clustering similar property listings.

Validation and Verification: Implement validation steps to ensure accuracy and reliability.

Reporting and Visualization: Provide tools or dashboards to visualize and interpret the findings.

Compliance: Adhere to all relevant legal and ethical guidelines, including privacy and terms of service of the data providers.

Please provide your thoughts on the approach, a proposed methodology, estimated timelines, and a detailed quotation. Additionally, examples of similar work you have done would be helpful to understand your capabilities.

We are seeking a highly skilled AI Developer specializing in Stable Diffusion for an exciting freelance project. This project will involve generating realistic and detailed images using epiCRealism.

Responsibilities

1. Utilize Stable Diffusion to generate realistic images with epiCRealism (or similar)

2. Create multiple images of the same person from different angles

3. Generate NFWS images from that person.

4. Bonus: Wrap everything in a NodeJS API

Requirements

1. Proven experience in AI, machine learning, and stable diffusion.

2. Expertise in image generation and manipulation, especially using APIs such as Stable Diffusion.

3. Knowledge of epiCRealism desired.

4. Strong problem-solving ability and attention to detail.

Infrastructure

Please suggest efficient and cost-effective solutions for infrastructure. Preference will be given to candidates with a strong understanding of APIs for image generation, such as stablediffusionapi.com. However, if you can demonstrate the ability to achieve equivalent results using a more cost-effective setup, we're open to that.

If this sounds like you and you're up for the challenge, we invite you to apply. Please include examples of previous work done within this field.

We are seeking a skilled professional to develop an AI tool that accurately predicts crop yields for a specific area of land using data such as soil test results, farming methods, and other relevant information. The tool should leverage advanced machine learning algorithms to analyze the provided data and generate accurate predictions. The successful candidate should have experience in AI development and a solid understanding of agricultural practices. The key skills required for this project include:

- AI development

- Machine learning

- Data analysis

- Agricultural knowledge

- Statistical modeling

We are seeking a skilled professional to develop an AI tool that accurately predicts crop yields for a specific area of land using data such as soil test results, farming methods, and other relevant information. The tool should leverage advanced machine learning algorithms to analyze the provided data and generate accurate predictions. The successful candidate should have experience in AI development and a solid understanding of agricultural practices. The key skills required for this project include:

- AI development

- Machine learning

- Data analysis

- Agricultural knowledge

- Statistical modeling