Top Machine Learning Jobs

Respected sir ,

I need to learn DCGAN and style GAN in ML and AI .

Know basics of python

Looking to build POC with use ChatGPT 4 combined with learning of the AI using legal database system. I need to build a prototype version 1 of this for the platform and I need a developer who understands this.

Legal AI is an interactive AI-powered legal assistant platform tailored to address the complexities of employment law. This platform will provide real-time assistance, document support, dispute resolution guidance, and updates/training on employment laws.

AI & Machine Learning**

1. The application should include an AI model trained to understand and interpret complex legal jargon, providing understandable language to users.

2. The AI model should use natural language processing (NLP) to understand user queries and provide relevant responses.

3. The AI model should be able to learn from user interactions to improve its response quality and accuracy over time.

We are dedicated to creating transformative solutions that leverage the power of machine learning and artificial intelligence with Sport Analytics, including but not limited to Fantasy Sports.

As a Machine Learning Software Engineer, you will play a pivotal role in designing, developing, and implementing machine learning models and algorithms that drive our Sports Analytics & Fantasy Sports prediction(s) in which we have strong aspirations to build into a UI & App for Sport Predictions, Odds, & Fantasy Sports.

Your responsibilities will include:

**Analyze & assess an existing machine learning model using the RandomForestClassifier and then tailor it or develop a completely new model, possibly using Logistic Regression or other suitable methods, to enhance prediction accuracy based on the available datasets. These datasets are currently in CSV format, and we are in the process of migrating them to AWS database tables.

**Proficiency in PythonAnywhere, GitHub, and AWS is essential for this role. PythonAnywhere is currently employed for the user interface to forecast match outcomes and player predictions, but the current model's accuracy and realism are lacking. Thus, we need to thoroughly evaluate and revamp the existing code to align it with our objectives.

**Provide support for debugging and maintaining databases, web applications, and related components while optimizing costs.

**Maintain strict confidentiality and privacy of all project data within BTA Sports' team accounts.

Collaborate closely with our team to comprehend project requirements and objectives.

**Engage in research, prototyping, and implementation of machine learning models and algorithms.

**Perform data preprocessing and transformation to extract meaningful features from raw data, preparing it for model training.

**Train, fine-tune, and validate machine learning models to achieve optimal performance and accuracy.

**Collaborate with the team to develop and set up database architecture in AWS using services like Beanstalk, RDS, or other appropriate AWS solutions. This includes assisting the team in converting CSV files into normalized database tables to facilitate API data mapping and other related tasks.

**Define and create artifacts necessary for machine learning processes.

Integrate machine learning solutions seamlessly into our software systems and applications.

Incorporate data from NFL Sport API and Weather API to provide real-time updates that impact model performance.

**Participate in the setup, approval, and design of databases, with a focus on data mapping.

**Conduct comprehensive testing and debugging to ensure the reliability and robustness of implemented machine learning models.

**Stay current with the latest advancements in machine learning and AI technologies to continually improve our solutions.

Respected Sir/ Madam,

We wish to create some models to edit images of people in GAN , ML ,AI .. So i need people to wok on it and also teach me in the process.

It will be a Long job creating 145 designs. Preferable to create 10 designs per week .

Kindly give your quote

Respected Sir/ Madam,

We wish to create some models to edit images of people in GAN , ML ,AI .. So i need people to wok on it and also teach me in the process.

It will be a Long job creating 145 designs. Preferable to create 10 designs per week .

Kindly give your quote

We are looking for a skilled Data Scientist who is proficient in Python and has experience with processing geo-spatial data. The ideal candidate will be responsible for handling and analyzing large datasets and extracting insights from geo-spatial information. The project involves utilizing Python libraries for data manipulation, cleaning, and visualization. The successful candidate should have a strong understanding of statistical analysis, machine learning algorithms, and be able to effectively communicate findings to both technical and non-technical stakeholders.

Skills required:

- Data science

- Python

- Geo-spatial data processing

- Data manipulation

- Statistical analysis

- Machine learning

- Data visualization

Job Title: AI Implementation Specialist - Education Recruitment

Job Description:

We are seeking a highly skilled and motivated AI Implementation Specialist to work on our education recruitment business which is based in the UK. As an AI Implementation Specialist, you will play a crucial role in revolutionising our recruitment processes by leveraging the power of artificial intelligence. Your expertise will help us streamline operations, enhance candidate sourcing, and improve overall efficiency.

Responsibilities:

- Collaborate with the management team to identify areas within our education recruitment business that can benefit from AI implementation.

- Design and develop AI-driven solutions to automate and optimize various recruitment processes, including candidate sourcing, screening, marketing and building training programs

- Conduct thorough research on AI technologies, algorithms, and tools to identify the most suitable options for our business needs.

- Implement and integrate AI solutions into our existing systems, ensuring seamless functionality and user-friendly interfaces.

- Train and educate management on the effective use of AI tools and technologies, fostering a culture of AI adoption within the organization.

Requirements:

- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.

- Proven experience in implementing AI solutions in a professional setting, preferably within the education or recruitment industry.

- Strong knowledge of AI technologies, algorithms, and tools, such as machine learning, natural language processing, and data analytics.

- Proficiency in programming languages commonly used in AI development, such as Python, Java, or R.

- Familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.

- Excellent problem-solving skills and the ability to think creatively to develop innovative AI solutions.

- Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.

- A passion for education and a genuine interest in leveraging AI to improve the recruitment process.

If you are a highly motivated individual with a passion for AI and education, and you are eager to make a significant impact in the recruitment industry, we would love to hear from you. Help us shape the future of education recruitment through the effective implementation of AI technologies.

We are a Generative AI Safety Software company founded by a team of successful serial entrepreneurs with deep expertise in AI and Cognitive Computing.

We are shaping the future of Generative AI Safety by delivering a unique GenAI safety software for addressing LLM hallucinations and performance at scale, empowering LLM Application Developers to innovate safely and responsibly with generative AI. We are on a quest to redefine the boundaries of safe and efficient AI deployments, and we need the best minds to join us.

Responsibilities:

Technical Leadership:

Drive the design, development, and deployment of our core AI safety products while maintaining top-tier code quality and architecture.

Software Development:

Write clean, efficient, and maintainable code. Troubleshoot and debug software issues. Conduct code reviews to ensure quality and adherence to coding standards.

Team Management:

Lead, mentor, and grow a dynamic team of software and AI/ML developers. Ensure a culture of continuous learning and innovation.

Collaboration:

Partner with product managers, data scientists, and AI researchers to shape product vision and translate it into scalable software solutions.

Strategic Development:

Contribute to the strategic direction of our developer tools, ensuring they remain at the cutting edge of both functionality and safety.

Stakeholder Communication:

Interface with business stakeholders, presenting technical information in a clear, concise manner.

Qualifications:

• A bachelor’s degree in Computer Science, Software Engineering, or a related field. Master's degree preferred.

• A minimum of 5 years of professional experience in software development, with a focus on developer tools.

• Proven track record of managing and leading software and AI/ML teams in agile environments.

• Familiarity with the latest developer tools and frameworks in the AI/ML domain.

• Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

Technical Skills:

1. Programming Languages: Proficiency in one or more programming languages commonly used in AI/ML and software development, such as Python, Java, C++, or Go.

2. Cloud Platforms: Experience working with cloud services like AWS, GCP, or Azure. Especially knowledge of machine learning services, edge compute, CLI/SSH, and an understanding of compute resources.

3. Developer Tools: Experience with popular developer tools and platforms like Git, Jenkins, Docker, Kubernetes, and others.

4. Machine Learning Frameworks: Familiarity with AI and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.

5. AI Safety: Knowledge of AI/ML best practices, challenges, and emerging techniques. Knowledge of LLM and Generative AI Models and Vector Databases is a plus.

6. Data Management: Skills in handling large datasets, using databases (SQL, NoSQL), and data wrangling tools.

7. API Development: Experience designing, developing, and maintaining RESTful or GraphQL APIs.

8. Continuous Integration & Continuous Deployment (CI/CD): Familiarity with CI/CD tools and practices.

9. Software Architecture: Ability to design scalable, modular, and maintainable software systems, considering both functional and non-functional requirements.

10. Agile Development: Experience with agile methodologies such as Scrum or Kanban.

11. Web Development (Optional): Skills in web development frameworks like React, Angular, or Vue.js might be beneficial if there's a web interface for the tools.

12. Security: Understanding of software and data security best practices, especially in cloud environments.

13. Unit Testing & TDD: Experience with unit testing, test-driven development, and associated frameworks.

14. Containerization & Virtualization: Proficiency in Docker, Kubernetes, or other containerization tools.

15. Documentation: Familiarity with tools and practices for maintaining technical documentation, especially for developer tools that will be used by other engineers.

If you are a highly motivated Software Engineer and leader with a passion for developing innovative Generative AI safety solutions, we want to hear from you! Apply now to join our talented team of software professionals.

Job Type: Full-time

Schedule:

Monday to Friday

Critical Skills:

Experience with building Developer Tools.

Stable Diffusion Based Virtual Try-On Inference Endpoint Deployment

Background and Context

Project Objective: Deploy a virtual try-on model based on stable diffusion for online inference while minimising costs.

Current Infrastructure: Our main cloud provider is AWS but we are also set up with GCP and Azure. We are flexible towards other solutions based on cost and ease-of-use.

Model Details: Model is a modified version of Stable Diffusion 1.5, with a different conditioning network and a fine-tuned u-net (weights will be compatible with original stable-diffusion-inpainting model after appropriate conversion). It uses the Sd-vae-ft-mse-original vae, which can be found on huggingface. We also use an img2img upscaling step with a different fine-tuned stable diffusion model available on huggingface. This should also be set up for online inference. We have code which deals with the diffusion pipeline so the solution could just create inference endpoints for the unet, conditioning network and vae so that this code can connect to those rather than models loaded via torch.load. We are open to other solutions e.g. wrapping the whole pipeline in a single inference endpoint if that makes technical sense.

Technical Requirements

Programming Language: Python 3.10 if applicable

Cloud Platform: AWS preferred, open to other suggestions

Model Framework: PyTorch - can be converted by you to other formats if necessary

File Types: .pt files for the conditioning network and u-net will be provided. We can also provide original .ckpt files if necessary

Tasks to be Performed

Infrastructure Setup: Configure the cloud-based online inference environment.

Model Integration: Integrate VAE, conditioning network, and unet with the inference system.

Optimization: Ensure the model can handle online/on-demand inference without compromising accuracy or speed.

Testing: Conduct comprehensive testing to validate the deployment for real-world usage.

Documentation: Create detailed documentation for the setup and operation.

Deliverables

A functional online inference system deployed on the cloud which operates with minimal latency.

Source code with comments if applicable.

Documentation detailing the architecture, installation steps, and operational guidelines.

Skills and Experience Required

Expertise in MLOps, with hands-on experience in deploying machine learning models in real-time settings.

Strong knowledge of AWS services or other cloud platforms.

Familiarity with Stable Diffusion models and generative networks.

About Us:

At Autoenhance.ai, we're revolutionising the real estate photo editing landscape with our cutting-edge AI-powered photo editor. Industry leaders trust us to enhance property images, making them brighter, more colourful, and professionally lit. We aim to speed up the property listing, increase sale prices, and attract more online views.

Role:

We are seeking a talented AI Engineer to join our dynamic team. The ideal candidate will be pivotal in enhancing our AI capabilities, ensuring we remain at the forefront of the image enhancement industry.

Responsibilities:

Dataset Sourcing: Identify, curate, and source high-quality datasets suitable for training our AI models.

Collaboration: Work closely with labellers to ensure the creation of accurate and comprehensive datasets.

AI Model Development: Research and implement state-of-the-art AI models to improve our stack for image classification, segmentation, colour correction, and vertical correction.

Continuous Improvement: Regularly evaluate the performance of our AI models and make necessary adjustments to enhance accuracy and efficiency.

Integration: Collaborate with the product team to integrate AI improvements into our platform seamlessly.

Qualifications:

Proven experience in AI and machine learning, specifically in image processing.

Familiarity with modern AI frameworks and tools.

Strong analytical and problem-solving skills.

Ability to work in a fast-paced environment and adapt to rapid product and technology developments.

Excellent communication skills, both written and verbal.

Benefits:

Opportunity to work in a rapidly growing startup.

Competitive salary and benefits.

Collaborative and innovative work environment.

Chance to make a significant impact in the real estate photo editing industry.

Position: Lead Developer (Full Stack)

Job Description:

We are seeking a talented and experienced Lead Developer to join our dynamic team and play a pivotal role in developing our AI Recruitment Assistant MVP. You will lead the technical aspects of the project, ensuring seamless integration of the mobile app and backend systems, and contributing to the success of our innovative product.

Key Responsibilities:

Develop the mobile app using Dart and Flutter for Android and iOS platforms.

Build and maintain the backend system using technologies such as Node.js, Python.

Implement the job-matching algorithm, AI features, and database interactions.

Lead a development team, providing technical guidance and support.

Ensure code quality, best practices, and adherence to coding standards.

Set up and manage CI/CD pipelines for automated testing and deployment.

Collaborate with the Product Manager and UI/UX Designer to implement design concepts.

Monitor app performance, troubleshoot issues, and ensure system reliability.

Qualifications:

Bachelor's degree in Computer Science or a related field (Master's preferred).

Proficiency in Dart and Flutter for mobile app development.

Proficiency in backend development using relevant technologies.

Strong experience with database systems (e.g., MySQL, MongoDB).

Proven leadership experience in leading development teams.

Excellent problem-solving and communication skills.

Ability to work in a collaborative, agile environment.

Previous experience in AI or machine learning is a plus.

Hi!

We are looking for a passionate data scientist to create a machine learning algorithm for a dating app. You will work in tandem with myself, the project manager, and the app developers to create a state-of-the-art way for people to meet and bring this project vision to life.

Good communication, timeliness, and flexibility are a must for this position. Looking forward to hearing from you!

We are seeking an enthusiastic and motivated Entry-Level Machine Learning Specialist to join our globally distributed AI consulting and management team. As a Machine Learning Specialist, you will work collaboratively with our cross-functional teams to develop and implement cutting-edge AI solutions for our clients. You should have a passion for problem-solving, a deep interest in machine learning, and the ability to work effectively in a remote team environment.

Responsibilities:

Collaborate with senior machine learning engineers and data scientists to design, develop, and implement machine learning models and algorithms to address client challenges.

Assist in preprocessing, cleaning, and analyzing data to extract meaningful insights and patterns.

Support the development of AI applications and solutions across various industries.

Contribute to the research and evaluation of emerging machine learning techniques and technologies.

Collaborate with UX/UI designers to integrate machine learning components into user interfaces.

Participate in brainstorming sessions and team discussions to ideate innovative solutions.

Work closely with project managers to meet project deadlines and deliver high-quality results.

Provide documentation for code, algorithms, and solutions developed.

Maintain a strong commitment to learning and professional development to stay up-to-date with the latest advancements in the field.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.

Strong understanding of machine learning fundamentals, algorithms, and techniques.

Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, or scikit-learn.

Experience with data preprocessing, feature engineering, and model evaluation.

Good understanding of statistics and data analysis.

Excellent problem-solving skills and a proactive approach to identifying and resolving challenges.

Ability to work effectively both independently and within a remote team environment.

Strong communication skills, both written and verbal.

Passion for staying updated with the latest developments in machine learning and AI.

Previous experience or relevant coursework in machine learning projects is a plus.

What We Offer:

Opportunity to be part of a dynamic and globally distributed AI team.

Collaborative and innovative work environment that encourages learning and growth.

Exposure to diverse AI projects spanning various industries.

Mentorship from experienced machine learning engineers and data scientists.

Flexible remote work arrangement.

If you are a dedicated and curious individual with a keen interest in machine learning, excited about working collaboratively across time zones, and eager to contribute to impactful AI solutions, we encourage you to apply and join our growing team of AI enthusiasts.

To apply, please submit your resume, a cover letter highlighting your passion for machine learning, and any relevant project or portfolio links.

We are seeking an AI expert to join our team. The ideal candidate will have a strong understanding of artificial intelligence and its various applications. The main responsibilities of this role will include developing AI models, designing algorithms, and implementing AI solutions. The candidate should also possess excellent problem-solving skills and be able to effectively analyze and interpret data. Strong programming skills in languages such as Python or Java are required. Familiarity with machine learning frameworks and libraries, such as TensorFlow or PyTorch, is also essential. Knowledge of neural networks and deep learning would be highly advantageous.

Language Translation Model Expert (Contractual Basis)

**Company:** [Cloudstrats TEchnologies]

**Location:** Remote

Are you passionate about pushing the boundaries of language translation technology? Do you thrive in the world of machine learning and natural language processing? Join us at cloudstrats as a Language Translation Model Expert on a contractual basis and contribute to our cutting-edge projects in machine translation.

**Role and Responsibilities:**

As a Language Translation Model Expert, you will play a pivotal role in enhancing the accuracy and efficiency of our custom language translation model. Your expertise will drive the optimization of our Encoder-Decoder architecture, utilizing a range of technologies including GRU, LSTM, Transformer, and BERT. You will collaborate with our team to fine-tune the model's performance on various language pairs. Your responsibilities will include:

- Analyzing the existing implementation of the Encoder-Decoder architecture, utilizing GRU and LSTM layers, for language translation.

- Incorporating transformer-based architectures like the Transformer model and advanced versions like BERT for improved translation outcomes.

- Identifying areas of improvement to enhance translation accuracy and efficiency using various technologies.

- Exploring techniques to address challenges in achieving high accuracy in translation tasks, such as attention mechanisms.

- Collaborating with the team to implement advanced preprocessing methods, tokenization, and subword techniques for the dataset.

- Experimenting with different optimization algorithms such as RMSprop and Adam to optimize model training.

- Fine-tuning the model hyperparameters, including learning rates and batch sizes, to achieve optimal performance.

- Evaluating the model's performance through rigorous testing, validation procedures, and relevant evaluation metrics like BLEU and ROUGE.

- Providing insights and recommendations for dataset augmentation, cross-lingual transfer learning, and domain adaptation.

- Documenting the methodologies, findings, and outcomes of your experiments.

**Qualifications:**

- A strong background in machine learning, natural language processing, and deep learning techniques.

- Proficiency in working with GRU, LSTM, Transformer, and BERT architectures, particularly in the context of language translation (TF, PyTorch).

- Hands-on experience in implementing Encoder-Decoder architectures and utilizing attention mechanisms.

- Proven track record of improving model accuracy and performance through experimentation and optimization, leveraging diverse technologies.

- Solid understanding of various preprocessing techniques for text data, including subword tokenization.

- Familiarity with optimization algorithms, activation functions, and loss functions used in neural networks.

- Strong programming skills in Python and the ability to work with popular deep learning frameworks.

- Excellent problem-solving skills and the ability to work in a collaborative team environment.

- Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders.

**Additional Information:**

- This is a contractual position for a specific project duration.

- The position offers the flexibility of remote work.

- Compensation will be commensurate with experience and expertise.

**Use Case Highlight:**

In this role, you will contribute to the advancement of our language translation model, which holds substantial applications in text-to-text translation. The ability to translate text from one language to another accurately and efficiently has far-reaching implications, including cross-border communication, content localization, global business expansion, and enabling access to information across linguistic barriers. Your work will directly impact industries such as e-commerce, content creation, customer support, and international collaborations, making language barriers a thing of the past.

If you're excited about driving innovation in language translation technology and making a significant impact, we encourage you to apply. Join us in our pursuit of excellence in machine translation by sending your CV and a brief cover letter highlighting your relevant experience to jayants311995@gmail.com. We look forward to welcoming a driven Language Translation Model Expert to our team!

Cloudstrats is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

Develop ability to ask questions of a simple database. For example, the database will be enriched daily with corporate sales data with around 20 fields. Need to create the expected sql queries, ie 'What is the value of todays sales?' 'What is the value of this months sales' etc.

Then develop Machine learning to allow for a client to ask, either via chat, or maybe voice, 'What have we sold today', or 'What have we sold this month'

Will need a basic UI.

This is a proof of concept project.

We are trying to create AI Video Material for our business and the ideal candidate will be proficient in developing video materials using artificial intelligence and machine learning techniques. For this position, you should be familiar with Stable Diffusion, Warp Fusion, and Controlnet. You will be responsible for creating engaging and innovative video content by leveraging AI technologies, contributing to the enhancement of our products, services, and user experiences. The sample videos and detailed requirements will be shared with the right candidate.

Please submit a proposal describing how you can help with this project.

We are undertaking an AI project focused on social media, with an emphasis on content and creative generation. To successfully execute this initiative, we are looking to build a team comprising:

•AI Specialist to oversee machine learning and algorithm development

• Backend Engineers with expertise in DevOps to manage the server-side operations

• Frontend Engineer to design and implement user interfaces

• Quality Assurance Specialist with a focus on functional testing

Your expertise will be instrumental in the realization of this cutting-edge project.

We are undertaking an AI project focused on social media, with an emphasis on content and creative generation. To successfully execute this initiative, we are looking to build a team comprising:

•AI Specialist to oversee machine learning and algorithm development

• Backend Engineers with expertise in DevOps to manage the server-side operations

• Frontend Engineer to design and implement user interfaces

• Quality Assurance Specialist with a focus on functional testing

Your expertise will be instrumental in the realization of this cutting-edge project.

We are seeking a skilled Conversational AI Engine Developer to create customisable conversational AI engines for enterprise communication products and services sales and support, as well as for a mental wellness app. The developer will be responsible for designing, implementing, and integrating the AI engines to effectively communicate with users. The ideal candidate should have proficiency in natural language processing, machine learning, and cognitive computing. They should also be familiar with programming languages such as Python or Java, as well as frameworks such as TensorFlow or PyTorch. The ability to create user-friendly and customisable conversational AI experiences is essential.

We are seeking a skilled Conversational AI Engine Developer to create customisable conversational AI engines for enterprise communication products and services sales and support, as well as for a mental wellness app. The developer will be responsible for designing, implementing, and integrating the AI engines to effectively communicate with users. The ideal candidate should have proficiency in natural language processing, machine learning, and cognitive computing. They should also be familiar with programming languages such as Python or Java, as well as frameworks such as TensorFlow or PyTorch. The ability to create user-friendly and customisable conversational AI experiences is essential.

Are you a techy looking for a flexible and rewarding part-time job? Do you have skills in Natural Language Processing and Machine Language? If so, we have an exciting opportunity for you!

This project is about training chatbot for coding related responses. The role requires a person to evaluate chatbot's response and asses if the answer provided is correct or not. The answer does not have to most efficient, only that is should be correct. More details to be provided later.

We are looking for individuals with computer language knowledge. It's ideal for students, teacher and other professionals who posses the skills and are looking for earn some extra money on the side. No extensive experience in coding is necessary.

To be eligible for this position, you must:

Have proficiency in either NLP and ML

Be able to work at least 15 hours a week

Be authorized to work in the US

Reside in USA as IP is checked every day

Use of VPN is not allowed

The benefits of working with us include:

Flexible work hours: You can choose your own schedule as long as you work at least 10-15 hours a week

Long Term Project: The project is expect to continue for another 5-6 years

Learning opportunities: You will have the chance to work on diverse and challenging projects and learn new skills

Friendly and supportive team: You will be part of a collaborative and fun team that values your input and feedback

We look forward to hearing from you!

Are you a techy looking for a flexible and rewarding part-time job? Do you have skills in Natural Language Processing and Machine Language? If so, we have an exciting opportunity for you!

This project is about training chatbot for coding related responses. The role requires a person to evaluate chatbot's response and asses if the answer provided is correct or not. The answer does not have to most efficient, only that is should be correct. More details to be provided later.

We are looking for individuals with computer language knowledge. It's ideal for students, teacher and other professionals who posses the skills and are looking for earn some extra money on the side. No extensive experience in coding is necessary.

To be eligible for this position, you must:

Have proficiency in either NLP and ML

Be able to work at least 15 hours a week

Be authorized to work in the US

Reside in USA as IP is checked every day

Use of VPN is not allowed

The benefits of working with us include:

Flexible work hours: You can choose your own schedule as long as you work at least 10-15 hours a week

Long Term Project: The project is expect to continue for another 5-6 years

Learning opportunities: You will have the chance to work on diverse and challenging projects and learn new skills

Friendly and supportive team: You will be part of a collaborative and fun team that values your input and feedback

We look forward to hearing from you!

Hi

We are manually annotating a large amount of training data on mobile app operations, and we are looking for ways to automatically annotate this data. *want to reduce the time spent manually selecting objects.

We are looking for an engineer who can cheerfully provide support for these technologies.

Thank you .