Top Machine Learning Jobs

We are seeking a remote Sentiment Analysis Guru to join our team. As a Sentiment Analysis Guru, you will be responsible for analyzing and interpreting text data to determine the sentiment expressed. You will work with a variety of data sources including social media, customer reviews, and survey responses. Your insights will help us understand customer sentiment and make data-driven decisions.

Responsibilities:

- Conduct sentiment analysis on text data

- Develop and implement sentiment analysis models

- Extract insights and trends from analyzed data

- Collaborate with cross-functional teams to provide actionable recommendations

Skills:

- Strong experience in sentiment analysis

- Proficient in programming languages like Python or R

- Familiarity with natural language processing and machine learning algorithms

- Excellent analytical and problem-solving skills

If you are a Sentiment Analysis Guru with a passion for data analysis and a knack for interpreting text data, we would love to hear from you. This is a remote position with flexible working hours and an opportunity to work with a dynamic team in a fast-paced environment.

1. Full-Stack Developer Needed for Next-Gen Learning/ Educational Platform

Join us in crafting the backbone of a state-of-the-art LMS. We're looking for a seasoned Full-Stack Developer proficient in modern web technologies like React, Node.js, and cloud services. If you love building scalable web applications and are excited about transforming education, apply now!

2. Machine Learning Engineer for Personalized Education Experience

We're on the hunt for a Machine Learning Engineer to develop an adaptive learning algorithm for our LMS. If you have experience with AI in educational technology and a knack for personalizing digital experiences, come innovate with us!

Can you build Learning Management Software like this ?

https://blitzkrieg.e-gmat.com/secure-lms/page/free_trial

You have to sign up for a free trial to see it.

I'm on the hunt for a savvy AI and machine learning consultant to join our startup journey. If you're a tech wizard with a passion for problem-solving and a knack for guiding others through the intricacies of AI, we want to hear from you.

Initially, this position is freelance, but there's potential for it to evolve into a full-time role as we grow. Right now, we need someone who can roll up their sleeves and work alongside me to learn the ropes and develop applications crucial to our startup's success.

Your primary tasks will include:

- Providing expert advice on AI and machine learning.

- Collaborating on application development tailored to our startup's needs.

- Tackling smaller tasks to keep our projects moving forward.

To excel in this role, you should have:

- Deep knowledge and hands-on experience in AI and machine learning.

- Strong problem-solving skills.

- Excellent communication skills.

- A collaborative mindset.

If you're up for the challenge and ready to make a meaningful impact in a startup environment, send me some examples of your work as well as what AI libraries and languages you like to use.

Thanks,

Mark

Company Description:

We are a rapidly growing startup in the healthcare data analysis field in the MENA region. Our mission is to revolutionize clinical research by leveraging innovative approaches to extract meaningful insights from diverse data sources. We are currently seeking an interim Head of Project Management/Clinical Research to join our dynamic team.

Job Description:

We are looking for a highly skilled and adaptable individual to fill the interim position of Head of Project Management/Clinical Research. The successful candidate will be responsible for coordinating projects with pharmaceutical companies, managing communication with medical organizations, and ensuring the efficient execution of research projects. Additionally, they will play a key role in developing algorithms for research problem-solving and managing project progress from a medical standpoint.

Key Responsibilities:

Coordinate work with pharmaceutical companies during the creation of technical tasks.

Participate in communications with pharmaceutical companies and medical organizations.

Make decisions regarding the implementation of Sponsor’s requirements, considering available resources.

Interact with the team to ensure completeness of medical data received.

Collaborate with the machine learning team to develop algorithms for solving research problems.

Manage project progress from a medical perspective.

Participate in building processes within the company and creating a team of experts.

Key Tasks and Objectives:

Optimize current business processes to meet deadlines and budget targets.

Extract meaningful information from various data sources, considering qualitative and quantitative differences.

Utilize rapid prototyping approach and embrace change in planning processes.

Foster successful interaction with Biostatistics, Analytics, and Database Engineering teams.

Develop an operating model for each class/type of research, indicating variable parameters influencing company growth.

Make a proposal to optimize the project/operational structure to align with the approved business model.

Focus on key research areas including oncology, autoimmune diseases, neurology, and metabolic disorders.

Qualifications:

Qualifications:

PhD in data/medical related fields preferred.

3+ years of experience in Clinical Research Organizations (CROs) is highly preferred.

Strong familiarity with programming languages such as JavaScript, SQL, and Python is advantageous.

Past experience with public cloud platforms such as Azure, AWS, or Huawei will be beneficial.

Bachelor’s or Master’s degree in a relevant field is acceptable with significant additional experience.

Strong understanding of pharmaceutical industry regulations and guidelines.

Excellent communication and interpersonal skills.

Proven leadership and team management abilities.

Ability to adapt to a fast-paced and changing environment.

Certification in project management (e.g., PMP) is preferred.

ABOUT QUANTCUBE

QuantCube analyses billions of alternative data points in real time, using artificial intelligence and big data analytics to deliver insights ahead of the market – giving users an edge in their investment strategies.

Today we are the global leader in macroeconomic intelligence nowcasting and in pinpointing macro regime change. Our vision is to become the standard point of reference for macroeconomic, sector, corporate and environmental intelligence. By delivering timely, comprehensive, and actionable economic insights we empower users within financial institutions, corporates, and public bodies to reach their financial performance and sustainability goals.

Headquartered in Paris, QuantCube employs a diverse international team of economists, quant analysts and data scientists with expertise in multilingual NLP, deep learning and machine learning techniques. The company’s shareholders include Moody’s and Caisse des Dépôts and its R&D in computer vision has been partially funded by the European Space Agency (ESA) and French government space agency CNES.

ABOUT THE JOB

The assignments you will be working on include:

- Assessing the feasibility of data collection in various cases

- Create and implement data collection scripts based on an internal standardize template

- Provide data quality assessments

SKILLS REQUIRED:

- Good level in python (Knowledge of python packages requests, beautifulsoup and selenium is a plus. )

- UNIX commands and development under Linux

- Good development practices: versioning (Git), testing, Software (Jira tickets etc.)

- Fluent in English

BENEFITS:

- Working in a startup environment around Artificial Intelligence and Big Data. We are a close-knit, friendly and multicultural team.

- You will have the opportunity to communicate directly with our IT and Data Science teams who are at the forefront of their field.

- The tasks may range from a few days to several weeks, but we are looking to work with a freelancer on a long-term basis, with periods of sprints and downtime between projects

Purpose:

Image collection project, for the sole use of generating training data for machine learning and computer vision research. The image collection will be about collect images with Japanese text outdoors (like store fronts, street signs, billboards) and indoors

Requirements

• Job description: participant will see a prompt and they should upload a photo that matches this prompt (image with Japanese or Chinese text outdoors (like store fronts, street signs, billboards), when uplaoding, you need towrite a short description in english at the bottom, e.g. ´cheesecake store', just a few words, not a full sentence, then select the lighting conditions and upload the image.

Volume for each participant:

374 images for indoor

627 images for outdoor

Number of partipant we are hiring: 15 per language

Users need to be at least intermediate in English, as they need to read the guidelines that are going

to be in English and provide a short description in english of what is visible on the image they are uploading.

• Location: Based in Japan(for Japanese)

Based in Singapore(for Chinese).

Platform: Neevo

Data Validation & Acceptance Criteria

• Image uploaded must exactly align with the displayed prompt.

• Each participant must participate in the collection with one unique account.

• Each participant must have a full understanding of the project requirements and follow the job

instructions to ensure the most efficient throughput possible.

• No PII should be provided in any job within this project.

• Every image collected within the scope of this collection will be subject of a validation assessment

where Defined.AI will consider valid every image that has a positive agreement between multiple

validators.

• Users shouldn’t use the same items over an over, they should use a variety of items. Each image

should contain unique text

• Capture a variety of lighting conditions:

oLow - nighttime light, shadow, dimly lit interiors, obvious shadow

o Medium - indirect light

oHigh - bright sunlight, high artificial light

• Users will be asked to share images of items at a variety of distances:

oNear - textual object in hand or at an arm's distance

o Medium - textual object at 50 cm - 3 meters distance from you

oFar - textual object further than 3 meters away from you

• Image quality:

o minimum 720p

o not cropped, no flash, no filters/effects

o portrait (upright) orientation

Definition of invalid data:

Prompt/image mismatches.

Same account used by different participants.

User(s) participating with multiple accounts.

Image not following the guidelines requirements.

Image with another language instead of Japanese and Chinese.

3. Timeline and Deadlines

Start date: 19th February 2024

End date: 8th April 2024

Budget: $0.1 per image

Objective:

This role focuses on enhancing the existing Enterprise Analytics Platform, by deploying new services and data pipelines for the strategic application of data science, while ensuring customer privacy and security.

The Data Engineer is primarily responsible for implementing data pipelines, and using data mining and predictive modelling techniques to gain insights, predict behaviors, and generate value from customer data.

The Data Engineer works within the Information and Communication Technology Department, under the supervision of the Senior Data Platform Specialist.

Tasks:

The Data Engineer provides the required expertise to design and deploy data products in the Enterprise Analytics Platform, using an interactive/agile approach.

a) Extend the Platform by implementing new functionality using infrastructure as code approach.

b) Deploy ML models and ETL jobs/workflows using a CI/CD pipeline.

c) Identify and address privacy and confidentiality concerns. Collaborate with the establishment of data-handling practices to ensure the Organization’s information security guidelines are followed.

d) Establish model drift monitoring strategies.

e) Use Natural Language Processing to establish relationships between multiple datasets.

f) Identify and communicate how structured and unstructured data can be used to enrich datasets and increase knowledge about the customer.

g) Define relevant features for data modelling and participate in its implementation.

h) Provide time sensitive analyses on various customer and business questions.

i) Prepare reproducible analyses using data science notebooks.

j) Prepare concise data reports and present information using visualization techniques to management and stakeholders.

k) Perform other related duties as required.

Deliverables:

•Issue reports managed via JIRA.

• Data transformation jobs and workflows.

• Advanced models and specialized analyses for data collation, migration and deduplication.

• API endpoints developed to fetch data from the data lake and retrieve inference results.

• Reproducible experiments in Jupyter notebooks.

• Detailed use case diagrams, data flow charts, and architectural schematics.

• User guide manuals and documentation accompanying ad-hoc analyses.

REQUIREMENTS:

• University degree in information technologies, machine learning, data science or related field.

• 5 years minimum experience working as a Data Engineer

• Expert knowledge of SQL, Python and related ML packages.

• Expert knowledge of solution architecture in Amazon Web Services.

• Expert knowledge of cloud-based data engineering.

• Knowledge of CI/CD tools and analytics model deployment.

• Desirable: Knowledge of provisioning of data APIs.

• Desirable: Experience with Natural Language Processing tools and techniques.

• Desirable: Experience with data visualization tools and methods.

• Desirable: Proven ability to communicate with business experts and present ML results.

Software development languages and tools:

• Amazon Web Services, SQL, Python, Jupyter, Athena, Glue, Spark, CloudFormation

Languages: English C1.

I am looking for existing Google Professional Certified Engineers with certification in any of these areas: Professional Cloud Architect, Professional Data Engineer, or Professional Machine Learning Engineer.

Must be fully certified by Google. Immediate short-term need and the potential for longer-term work packages.

Experience in Google CCAI is useful.

Applicants MUST be residents of the UK or Ireland and must be citizens of either country.

Data expert with strong understanding of AI and machine learning to help review and validate a framework and algorithm, identify potential data sources, and recommend database and approach to build engine.

We're looking for a PyTorch virtuoso who can not only fine-tune a pre-trained model with a small dataset but also create a sleek, small prototype to showcase its capabilities.

🤖 Your Role:

Take the helm in fine-tuning an existing machine learning model, leveraging your expertise in PyTorch.

Your challenge is to work with a compact dataset, where precision is key.

Beyond fine-tuning, your creativity will be essential in developing a small, functional prototype that demonstrates the power of the tuned model.

Project Description:

We are looking for an experienced Python developer who is skilled in working with the OpenAI API, various vector stores like FAISS and Pinecone, and who has the capability to build small-scale reinforcement learning models. This role involves developing a sophisticated tool for creating academic arguments and reviewing academic manuscript snippets, integrating Langchain's open API with advanced machine learning techniques and large language models (LLMs).

Key Responsibilities:

Develop and implement Python code integrating Langchain's open API, OpenAI API, and vector storage solutions such as FAISS and Pinecone.

Design and build small-scale reinforcement learning models to enhance the functionality and efficiency of the academic tool.

Collaborate in problem-solving, optimizing, and refining code to meet high academic standards.

Work closely with our team to understand project requirements and deliver innovative technical solutions.

Skills and Qualifications:

Proficient in Python with experience in working with APIs, particularly Langchain and OpenAI.

Familiarity with vector storage solutions like FAISS and Pinecone.

Experience in building and integrating reinforcement learning models.

A strong background in machine learning, with a focus on enhancing LLM capabilities.

Excellent problem-solving skills, attention to detail, and capability to work in both independent and collaborative environments.

Previous experience in developing academic tools or related projects is highly desirable.

Project Duration:

This project will involve a series of short-term contracts, with timelines and milestones to be mutually agreed upon.

Job Description:

We're looking for an experienced AI Developer to lead the creation of AI automation for online sports betting. You'll develop algorithms to generate real-time, data-driven sports picks for NFL, NBA, Golf, Ice Hockey, and MLB.

Responsibilities:

Algorithm Development:

Design and implement AI algorithms for predictive analysis.

Consider player stats, team performance, injuries, etc.

Data Integration:

Collaborate on integrating and preprocessing diverse data sources.

Ensure seamless integration with sports data APIs.

Real-Time Decision Making:

Implement mechanisms for real-time sports picks.

Optimize algorithms for low-latency data processing.

Machine Learning:

Apply ML techniques to improve prediction models.

Explore new algorithms for ongoing enhancement.

Quality Assurance:

Implement rigorous testing procedures for reliability.

Address issues promptly and enhance system performance iteratively.

Requirements:

Proven experience in AI development with a focus on sports betting or similar domains.

Technical Skills:

Proficiency in Python, R, or Java.

Familiarity with ML libraries and frameworks (e.g., TensorFlow, PyTorch).

Domain Knowledge:

In-depth understanding of sports betting and analytics.

Previous experience with sports data and APIs is a plus.

Communication Skills:

Ability to communicate complex concepts to technical and non-technical stakeholders.

Collaborative mindset with excellent teamwork and interpersonal skills.

If you're passionate about AI, sports analytics, and want to revolutionize sports predictions in online betting, apply now and be a key player in our innovative team!

For a project we are looking for an automation engineer with expertise in Make.com, Notion, Google sheets, Excel, ChatGPT, etc. andould have excellent is able to do automations for use cases such as:

Social Media Marketing (i.e. automate the flow from extracting new blog URL’s to creating Linkedin Posts or Tweets through ChatGPT and then posting it

Sales Automation

You should have excellent communication skills in English, have a background in computer science and/ or machine learning and have a passion to try and test out new tools.

Please describe your previous experience with equal tasks.

Responsibilities:

Conduct exploratory data analysis to identify patterns, trends, and outliers.

Design and implement machine learning models for predictive analytics and optimization.

Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.

Clean, preprocess, and manipulate large datasets to ensure data quality and integrity.

Evaluate model performance and make recommendations for model improvement.

Qualifications:

Proven experience as a Data Scientist, Showing your portfolio.

Proficiency in using data analysis and machine learning frameworks.

Solid understanding of statistical concepts and methodologies.

Experience with big data technologies is a plus.

Responsibilities:

Conduct exploratory data analysis to identify patterns, trends, and outliers.

Design and implement machine learning models for predictive analytics and optimization.

Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.

Clean, preprocess, and manipulate large datasets to ensure data quality and integrity.

Evaluate model performance and make recommendations for model improvement.

Qualifications:

Proven experience as a Data Scientist, Showing your portfolio.

Proficiency in using data analysis and machine learning frameworks.

Solid understanding of statistical concepts and methodologies.

Experience with big data technologies is a plus.

We're searching for a skilled pro to construct a vector database for our company. This database will store and analyze vectors related to a specific industry or topic. The perfect candidate should have a solid background in database technology with experience designing vector databases. They will be responsible for creating a scalable and efficient database capable of handling large amounts of data. Relevant skills include:

- Database technology

- Designing vector databases

- Analyzing data

- Rust

- Graph databases

- Machine learning

- Natural language processing

I am looking for a developer to help me build an AI-pharmacist co-pilot for a web-app. The co-pilot should be able to assist and guide pharmacists in their daily tasks and decisions. The main requirements for this job include:

- Experience in web development

- Knowledge of AI and machine learning technologies

- Ability to integrate AI into web-based applications

- Strong problem-solving skills

- Ability to work independently and collaboratively

The ideal candidate should have experience in developing similar applications and a strong understanding of the pharmacy industry. Please provide examples of previous work and relevant skills in your application.

The project will involve the following tasks:

- Conducting research and analysis to determine the scope and requirements of the co-pilot

- Designing and developing the AI-powered co-pilot interface

- Integrating the co-pilot with the web-app

- Testing and debugging the co-pilot

The project is expected to be completed within 1 to 3 months. The ideal candidate should have expertise in web development, AI, and machine learning. Please provide a detailed proposal outlining your approach and estimated timeline. Thank you!

We are seeking a skilled and experienced Chatbot Developer to create a chatbot for our HR Services. The chatbot should be designed to provide automated support and assistance to our HR team and employees, streamlining common HR processes and answering frequently asked questions. The ideal candidate should have a strong background in chatbot development, with expertise in natural language processing and machine learning algorithms.

Key Responsibilities:

- Design and develop a chatbot for HR Services

- Implement natural language processing and machine learning algorithms

- Integrate the chatbot with our existing HR systems

- Test, debug, and improve the chatbot's performance

- Provide ongoing maintenance and support

Skills Required:

- Chatbot development

- Natural language processing

- Machine learning algorithms

- Integration with existing systems

Size: Medium

Duration: 1 to 3 months

Expertise: Intermediate

Job Description:

We are seeking a highly skilled and experienced freelancer to help us with artificial intelligence projects. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing. They should also have hands-on experience in various AI frameworks and tools such as TensorFlow, PyTorch, and Keras. The main responsibilities of this role include developing and training AI models, implementing AI algorithms, and conducting data analysis to improve model performance. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this position.

Relevant skills:

- Machine learning

- Deep learning

- Natural language processing

- Data analysis

- AI frameworks (TensorFlow, PyTorch, Keras)

Preferred expertise level: Intermediate

Please do not apply unless you have all of these Pre requisites below:

Understanding of the ETH blockchain

Experience building predictive models

Understanding of MEV methodology (sandwich) and mempool

The project:

1. Build a predictive model to predict gas fees based on historic data and pending transactions in the mempool.

2. Build a predictive model that predicts when a transaction will post in the mempool.

3. Provide support for 90 days post delivery

As the developer you will be responsible for identifying data sets and all systems needed to perform the 2 models above.

Payment: 100% on delivery of working models

Terms of project: This contract will terminate immediately and deposit will be returned to me 100% no exceptions if any of the following happens:

Developer asks to take conversion off this platform

Developer asks for payment upfront or in crypto

Developer misses the deliver timeline and does not effectively communicate delay and has written approval from me to extend the timeline.

By submitting a proposal means you agree to these terms. These terms will supersede PPH terms when necessary.

Project Brief: Development of an Integrated Cybersecurity Platform

Project Overview:

We are initiating an ambitious project to develop a state-of-the-art, web-based cybersecurity platform. This platform aims to streamline and enhance security operations for our clients, integrating various aspects of cybersecurity management into one cohesive system.

Key Features:

-Comprehensive Modules: The platform will include modules for Security Operations Center (SOC), Managed Detection and Response (MDR), Extended Detection and Response (XDR), Attack Surface Management, and Data Leak Detection.

-Advanced Integration: The solution will leverage APIs for seamless integration with existing security tools, enhancing functionality and user experience.

-AI-Driven Threat Detection: Utilizing artificial intelligence and machine learning algorithms for proactive threat detection and response.

Objective:

Our goal is to create a robust, scalable solution that simplifies the complexity of managing various cybersecurity functions, improving threat response times, and providing a comprehensive view of security posture for our clients.

Seeking Talent:

We are looking for skilled developers with expertise in cloud-based solutions, cybersecurity, and modern programming languages (e.g., Python, C++, PHP, JavaScript). The ideal candidate should have experience in developing complex, secure web applications and a keen interest in innovative cybersecurity solutions.

Note:

This brief provides an overview of the project. Detailed information and specifics of the project will be shared post NDA-signing for a deeper collaboration and understanding.

About Us:

EDGE GROUP, a trailblazer in advanced technology and defense construction, is at the forefront of innovation, committed to pushing the boundaries of data science and analytics. As we lead the way in transformative technologies, we are seeking a Remote Data Scientist/Analyst to join our dynamic team.

Position Overview:

As a Remote Data Scientist/Analyst with EDGE GROUP, you will be a crucial player in our data-driven initiatives. Your expertise will contribute to extracting actionable insights and steering strategic decisions, ensuring a seamless integration of data science in advanced technology and defense construction.

Key Responsibilities:

1.Apply advanced data analytics techniques to derive meaningful insights from intricate datasets.

2.Collaborate seamlessly with cross-functional teams to comprehend business requirements and provide data-driven solutions.

3.Design and implement predictive models, machine learning algorithms, and statistical analyses.

4.Ensure data quality and accuracy through meticulous validation and cleansing processes.

5.Effectively communicate findings and recommendations to stakeholders using clear and compelling visualizations and reports.

6.Stay abreast of industry trends and emerging technologies in data science.

Qualifications:

Proven experience as a remote data scientist/analyst, showcasing a strong track record of impactful contributions.

Proficiency in programming languages such as Python or R.

Experience with machine learning frameworks and statistical analysis tools.

Solid understanding of data visualization techniques and tools.

Effective communication skills to convey complex findings to non-technical stakeholders.

Ability to work independently and collaboratively in a remote environment.

How to Apply:

Interested candidates are invited to submit their CV and a comprehensive cover letter directly to this message. Only applications with valid email addresses will be considered.

Benefits:

Competitive salary based on experience.

Remote work flexibility.

Opportunities for professional development and growth.

Insurance benefits.

Join EDGE GROUP and be part of a team that is reshaping the landscape of data science in advanced technology and defense construction. We eagerly await your application and the opportunity to welcome a skilled Data Scientist/Analyst to our team.

Note: Only shortlisted candidates will be contacted for further consideration.

Context

A significant number of hotel bookings are called off due to cancellations or no-shows. The typical reasons for cancellations include change of plans, scheduling conflicts, etc. This is often made easier by the option to do so free of charge or preferably at a low cost which is beneficial to hotel guests but it is a less desirable and possibly revenue-diminishing factor for hotels to deal with. Such losses are particularly high on last-minute cancellations.

The new technologies involving online booking channels have dramatically changed customers’ booking possibilities and behavior. This adds a further dimension to the challenge of how hotels handle cancellations, which are no longer limited to traditional booking and guest characteristics.

The cancellation of bookings impacts a hotel on various fronts:

1. Loss of resources (revenue) when the hotel cannot resell the room.

2. Additional costs of distribution channels by increasing commissions or paying for publicity to help sell these rooms.

3. Lowering prices last minute, so the hotel can resell a room, resulting in reducing the profit margin.

4. Human resources to make arrangements for the guests.

Objective

The increasing number of cancellations calls for a Machine Learning based solution that can help in predicting which booking is likely to be canceled. INN Hotels Group has a chain of hotels in Portugal, they are facing problems with the high number of booking cancellations and have reached out to your firm for data-driven solutions. You as a data scientist have to analyze the data provided to find which factors have a high influence on booking cancellations, build a predictive model that can predict which booking is going to be canceled in advance, and help in formulating profitable policies for cancellations and refunds.

Data Dictionary

Booking_ID: the unique identifier of each booking

no_of_adults: Number of adults

no_of_children: Number of Children

no_of_weekend_nights: Number of weekend nights (Saturday or Sunday) the guest stayed or booked to stay at the hotel

no_of_week_nights: Number of weeknights (Monday to Friday) the guest stayed or booked to stay at the hotel

type_of_meal_plan: Type of meal plan booked by the customer:

Not Selected – No meal plan selected

Meal Plan 1 – Breakfast

Meal Plan 2 – Half board (breakfast and one other meal)

Meal Plan 3 – Full board (breakfast, lunch, and dinner)

required_car_parking_space: Does the customer require a car parking space? (0 - No, 1- Yes)

room_type_reserved: Type of room reserved by the customer. The values are ciphered (encoded) by INN Hotels Group

lead_time: Number of days between the date of booking and the arrival date

arrival_year: Year of arrival date

arrival_month: Month of arrival date

arrival_date: Date of the month

market_segment_type: Market segment designation.

repeated_guest: Is the customer a repeated guest? (0 - No, 1- Yes)

no_of_previous_cancellations: Number of previous bookings that were canceled by the customer prior to the current booking

no_of_previous_bookings_not_canceled: Number of previous bookings not canceled by the customer prior to the current booking

avg_price_per_room: Average price per day of the reservation; prices of the rooms are dynamic. (in euros)

no_of_special_requests: Total number of special requests made by the customer (e.g. high floor, view from the room, etc)

booking_status: Flag indicating if the booking was canceled or not.

. You must run the RapidMiner file to execute the flow and generate results.

The primary purpose of providing

1. Define the problem and perform an Exploratory Data Analysis

- Please define the problem - Please mention the solution approach / methodology - Observations on the Univariate analysis visualizations provided - Observations on the Bivariate analysis visualizations provided

2. Comment on the model performance - Decision Tree and Pruned Decision Tree

- Comment on the model performance of the Decision Tree Model - Comment on attribute weights influencing the overall performance of the Decision Tree model - Comment on the model performance of the Decision Tree Pruned Model

3. Comment on the model performance - Random Forest and Pruned Random Forest

- Comment on the model performance of the Random Forest Model - Comment on attribute weights influenced the overall performance of the Random Forest model - Comment on the model performance of the Random Forest Pruned Model

4. Overall Summary - Choosing and commenting on best model

- Description of the ML model that best fits the business objective. Also state which evaluation metric (such as accuracy, recall or precision) is the most ideal to achieve the business objective(found in problem objective) and why? - Synopsis of the key features employed by the ML model to make predictions

5. Actionable Insights & Recommendations

- Gather & Summarise insights from the analysis. - Provide suitable recommendations to help solve the business objective at hand

We are a startup that has developed a tool for automatic generation of legal texts. Our software is implemented in C#/.NET and is processing input texts with a sequence of finetuned prompts. This is working well and a prototype is already in trial use at several large law firms. We are now looking for someone to work on improving this model. The input is mostly coming from an attorney with machine learning background, who is also providing the texts of the prompts. However, our tasks are complicated and require chaining many prompts in order to get to the desired output.

The output is in same cases simple text, but we will probably more and more need for more sophisticated output such as formatted Word documents or web pages with simple interaction possibilities (e.g. the user should be able to rate and/or edit answers).

You should have previous experience with natural language processing. Knowledge in processing of legal tech and/or creation of Word documents would be great but this can also be learnt later.

We have previously attempted using LangChain and Microsoft Prompt Flow. Our experience at the time was that doing everything in our own code is simpler and more efficient than LangChain. With Microsoft Prompt we had the impression that it is not yet possible to implement loops, which however are required for our processing tasks. If you believe that one of these frameworks would actually be suitable, we would be willing to learn from you. You should be able to understand our existing C# code, but we would be fine with moving to a different language.

We are looking for a long term collaboration that could quickly evolve into fulltime.