Top Llm Large Language Models Jobs

Location: on-site or remote (live in a time zone near UTC + 8)

Responsibilities

We're looking for a developer advocate and community builder who can bridge the relationship between our developers and diverse user base. Currently, we are applying cutting edge AI/LLM technology on both information retrieval and large language models to our high performance vector database. And we need YOU to spread our ideas and works to a larger community, for example LangChain. If you are enthusiastic on data science or vector database just as much as engaging conversation on these topics with a wide audience, this role is for you.

As a Developer Advocate at MyScale, you will:

* Design, write and create high-quality technical content such as blog posts, tutorials, documentation to educate and engage the developer community.

* Assist to manage and maintain a newsletter for current and prospective users.

* Work with engineering create technical content and improve SEO.

* Collaborate with our marketing team to improve community awareness of product features.

* Advocate for connecting LLM with vector database technology by contributing to open-source projects (e.g. LangChain, LlamaIndex, AutoGPT) and collaborating with external communities.

Minimum Requirements

* Bachelor's degree in Computer Science, Engineering, or a related field (Master's preferred) with an emphasis on data science and writing skills.

* Proficiency in at least one programming languages (e.g., Python)

* Familiar with collaborating with open-source community, (e.g., GitHub)

* Passionated for creating technical content for general public and engaging with the developer community.

* Excellent English verbal and written communication skills.

Desired Qualifications

* Experienced in writing technical blogs or documentations.

* Ability to work independently and remotely if required.

* Familiarity with vector databases is a plus, but not required.

Proven experience in developing and fine-tuning Large Language Models (LLMs), such as ChatGPT Chat completions API or similar models (LLAMA).

Strong programming skills in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch).

Knowledge of natural language processing (NLP) techniques and tools.

Understanding of model evaluation metrics and techniques.

Familiarity with cloud computing platforms (e.g., AWS, GCP) is a plus.

Excellent problem-solving and communication skills.

Commitment to ethical AI development and responsible AI practices.

If you are an accomplished machine learning engineer with a strong background in training and fine-tuning Large Language Models, we encourage you to apply. Please submit your resume, a brief cover letter outlining your relevant experience, and any relevant

Job Title: Professional LLM Prompt Writer with Strong/Native English Proficiency

Job Description:

Are you a talented writer with a strong command of the English language? Does your background match with any of the following fields? If so, we have an exciting opportunity for you!

- Coding & other technical

- Marketing

- AI industry general content

- Education

- Math

- Psychology

- Filmography

- Legal

- Medical

- NLP

- Finance

- Writing category - (creative/academic writing)

Job Overview:

We are seeking proficient LLM (Large Language Model) prompt and response writers to create engaging and informative prompts and responses for a variety of topics and fields. These will be used to train and fine-tune our language models, ensuring they provide accurate and high-quality responses across different domains.

Prompt Generation: Create well-crafted prompts that cover a wide range of topics within your respective field(s). These prompts should be clear, concise, and designed to elicit informative and relevant responses from our language models.

Responses Generation: Write accurate responses to the prompts provided by us and also for the ones that you have created. The prompts that you write need to be similar in complexity and richness to the prompts provided by us.

Qualifications:

- Exceptional proficiency in written English.

- Great online research skills

- Matching background on any field

- Strong attention to detail and a commitment to producing high-quality work.

- Ability to work independently and meet deadlines.

How to Apply:

If you are interested in this exciting opportunity, please apply on UPWORK and complete the Google Form linked below:

Google Form link: https://docs.google.com/forms/d/e/1FAIpQLSfBkBMz3KjVVEo7va0HvToFz8N9NJY2Q_Dw_bwnLFbwI1iR1w/viewform

In the application form, please specify your areas of expertise, and briefly describe your relevant experience. Additionally, be prepared to submit a sample prompt and response to that prompt related to your chosen field.

We look forward to receiving your application and potentially welcoming you to our team of skilled LLM prompt writers!

Natural Learning Process (NLP) developer for GCP - 3-months initial - REMOTE - UN-agency-client

We are looking for NLP engineering support to build on solution on GCP in the immediate term,with experience as Natural Learning Process (NLP) developer. where experience focused on NLP engineering/development, with associated knowledge of libraries and tools would be desired to build modular solutions for text extraction using semantic search.

It's to start ASAP (start in September-October) an initial 3-months contract (extensions possible) for an international Org' -client in ROME, where 100% REMOTE work is possible. Possibility of extension based on performance and budget availability. English speaking environment. Our client is an international organisation in Rome and a great reference in any CV!

100% Off-site/Off-shore. A competitive rate will increase chances to be selected.

TASKS

We are exploring the development of a pilot, which will be a first phase before a preparation to a transition to production.

Develop, implement, and evaluate machine learning models for NLP tasks

Responsible for the technical design, architecture, and coding of the NLP solutions, with an immediate focus on delivering and optimizing a production-grade pilot

Responsible for the solution evaluation, optimization, test and assisting future transition to production.

Ensure alignment with relevant UN-client standards

Conduct research on new techniques and algorithms, and stay up-to-date with advancements in the field of NLP.

Assist in data collection, pre-processing, and cleaning.

Present findings to non-technical stakeholders in a clear and actionable manner.

DELIVERABLES AT THE END OF THE CONTRACT:

Completion of a successful pilot, optimized on agreed the project's key performance indicators, including performance and speed.

Documentation of the lessons learnt.

Ensure that the solution is ready to transition to full production, meeting any corporate-level standards and requirements, if/when available, to guarantee seamless integration and alignment with existing systems and processes.

Support technical communication with the selected provider, maintaining a strong working relationship and fostering collaboration to address any issues, challenges, or opportunities that may arise during the course of the project.

MINIMUM QUALIFICATIONS AND EXPERIENCE:

Degree in computer science, data science, artificial intelligence, or related field

More than 3 years of experience in NLP (must have shipped ML applications to production) and familiarity with relevant tools and libraries.

Proficiency in Python and experience with libraries, including HuggingFace, PyTorch, or Keras.

Demonstrable experience and detailed understanding of transformers, Large Language Models (LLM), reinforcement learning, and deep learning techniques.

Direct experience with extractive search and LLM integration is a strong plus.

Proven experience with cloud platforms, preferably GCP and Vertex AI.

Demonstrable experience in developing production-grade apps.

Experience with model monitoring and optimization, API development.

Hands-on MLOPs experience would be a strong plus.

Capacity to create simple Front End during the pilot.

Familiarity with UN-client and UN environment, experience with similar projects and understanding of evaluation are assets

SKILLS:

Broad and authoritative technical knowledge of Natural Language Processing

Fully familiar with agile methodology, tools required for the development of the NLP solution (versioning, monitoring,etc.)

Demonstrated capacity to structure projects and respect best practices, strong organizing skills and proven ability to produce results to deadlines.

Demonstrated experience in facilitating dialogue between technical stakeholders and non-technical client, ie translating client into technical specifications and vice versa.

Fluency (level C) in English language.

OTHERS:

We are looking for NLP engineering support to build on solution on GCP in the immediate term, less AWS or MS

Experience focused on NLP engineering/development, with associated knowledge of libraries and tools is needed to build modular solutions for text extraction using semantic search.

Further, we would see value in exploring other NLP consultant with core skills/experience regarding:

Creation of a POC for document retrieval and retrieval augmented generation (RAG) solution, and the creation of insight module (visualization)

Proven experience of taking a POC to production, ideally using technologies such as GCP, FastAPI and Docker

Experience in MLOps tools and processes is a strong plus

Do you have a knack for extracting insights from data? We're an early-stage startup at the intersection of the creator economy and cutting-edge technology, and we need you! We're searching for a forward-thinking Data Scientist or Software Engineer to expand our suite of insight functions. You'll be leveraging social media data and interacting with a Large Language Model (LLM) to generate actionable insights. If the idea of influencing how creators make data-driven decisions excites you, we should talk.

Responsibilities

- Expand upon existing insight functions that analyze creator data from social media platforms.

- Collaborate with team members to develop new insight functions using our existing template.

- Interact programmatically with a Large Language Model (LLM) to extract and integrate insights.

- Conduct validation tests to ensure the reliability and accuracy of the new functions.

- Document code and methodologies for ongoing development and maintainability.

Requirements

- Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.

- Proficiency in Python.

- Familiarity with Large Language Models, preferably experience with LangChain.

- Experience writing modular code that prioritizes maintainability and code quality.

- Strong analytical and problem-solving skills.

- Excellent written and verbal communication skills.

Salary:80k-150k

Full-Time/ Remote/ Flexible working hours

Our mission is to build machines that understand the world, starting with language. We have four core products: Document AI, Workflow AI, Product AI, and Content AI. We use these four products to build **custom workplace automation solutions for companies** that want to help their teams get work done faster and better.

Most of our work involves **state-of-the-art large language models** such as OpenAI’s GPT-4, ChatGPT, Llama 2 and its variants, and Anthropic’s Claude 2. We perform pretraining, fine-tuning, and inference at scale using these models on several GPU-focused cloud providers.

We have an amazing team of 25+ people across machine learning, engineering, product, sales, and marketing. Several of us have **founded and operated multiple ML startups** over the years, with a proven track record of success.

**Join us** on this journey to bring the latest in generative AI to more companies.

## About This Role

As a MLOps engineer you will design and develop solutions for clients across many use cases and many verticals, leveraging state-of-the-art large language models.

### This includes the following tasks:

- Explore client’s product vision and needs

- Evaluate possible approaches to solving the problem and decide on best course of action (best defined as fast, economical, and effective)

- Work with our internal product team to develop both consumer-facing and business-facing products

- Design, implement and maintain automated CI/CD pipelines for ML models

- Design and implement model deployment and monitoring strategies

- Work closely with our machine learning and engineering teams to improve the efficiency and scalability of our ML workflows

- Develop techniques to train and serve models faster

- Deploy models as API

### **You may be a good fit if you have:**

- Proficiency in Python and related ML frameworks such as PyTorch and Tensorflow

- Proficiency with large language models such as OpenAI’s GPT-3.5, GPT-4, Meta’s Llama 1 and Llama 2, Vicuna, Koala, Wizard, Falcon, RedPajama, Anthropic’s Claude 1 and Claude 2, GPT-J, GPT-NeoX, T5, Flan-UL2, and others

- Familiarity with autoregressive sequence models, such as Transformers

- Experience with Hugging Face, Weights & Biases, LangChain, Pinecone, and similar libraries

- Experience using large-scale distributed training strategies

- Experience with writing production-ready code, using CI/CD, and deploying models on major cloud platforms such as AWS, GCP, and Azure and specialty GPU players such as Coreweave, Lambda Labs, Modal Labs, and OctoML

- Experience using Kubernetes and Docker

- Awareness of and experience with specialized hardware providers such as Cirrascale, Cerebras, SambaNova, and GraphCore

- Experience using GPUs such as A100s and H100s

- Strong written and oral communication and problem-solving skills

- A demonstrated passion for applied NLP models and products

- Passion for learning and applying the latest in LLM and NLP research

Here is the job description reformatted:

LLM Application Development Engineer

About Us

- Leading overseas AI startup funded by top US dollar funds

- Leveraging large language models to disrupt financial research industry

- Founding team from top investment, consulting, and AI companies

Role Responsibilities

- Participate in architectural design and development of AI Agent products based on LLMs

- Develop core retrieval systems like indexes, crawlers, search engines for Retrieval Augmented Generation

- Continuously learn latest LLM application development paradigms (e.g. Langchain)

Required Qualifications

- Bachelor's degree or above in computer science or related field

- 3+ years experience with Python, Golang, Java or other mainstream languages

- Excellent programming skills and software quality standards

- Independent thinking, quick learning ability, passion for technology

- Excellent communication and teamwork skills

- Experience with LLM applications and development paradigms

- Basic English reading and writing ability

Preferred Qualifications

- Proficiency in Python

- Experience with cutting edge LLM paradigms and frameworks like Langchain

- Interest or experience in financial market and equity research

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.

We are looking for a skilled and innovative developer to help us build a Minimum Viable Product (MVP) for a KnowledgeBase extended Large Language Model (LLM) chat application. This project involves integrating advanced technologies such as Vectorbase, LLMs like LLama2 and OpenAI's GPT-3, and SemanticSearch to create a cutting-edge conversational experience. If you are passionate about natural language processing, machine learning, and cloud technologies, we want to hear from you.

Project Goals:

Develop an MVP for a KnowledgeBase extended LLM chat application that enhances the capabilities of LLMs like LLama2 and OpenAI's GPT-3 by integrating additional data.

Utilize Vectorbase technology to efficiently store and manage data, enabling improved context-aware responses in the chat application.

Implement SemanticSearch techniques to enhance information retrieval and conversational depth within the chat.

Integrate Python programming for seamless communication between components and systems.

Set up Gitlab repositories and establish Gitlab Pipelines for version control and continuous integration/continuous deployment (CI/CD) to ensure smooth development processes.

Leverage AWS Cloud Native services, with a focus on AWS SageMaker, to train and deploy models efficiently.

Implement MLFlow for tracking and visualizing essential metrics to measure the success of the MVP.

Integrate Vectordatabases (qdrant, Milvus) to manage high-dimensional data embeddings and optimize search capabilities.

Qualifications:

Strong experience working with LLMs, especially LLM Lambda2 and OpenAI's GPT-3.

Proficiency in implementing embeddings for improving NLP applications.

Familiarity with SemanticSearch techniques to enhance conversational depth and data retrieval.

Expertise in Python programming for building and connecting various project components.

Prior experience with Gitlab, Gitlab Pipelines, and version control practices.

Practical knowledge of AWS Cloud Native services, particularly AWS SageMaker.

Familiarity with MLFlow for tracking and analyzing key performance metrics.

Experience in working with Vectordatabases such as qdrant and Milvus for efficient data storage and retrieval.

Strong problem-solving abilities and a proactive approach to overcoming challenges.

Effective communication skills and the ability to work collaboratively in a remote team environment.

We're on the hunt for a proficient Software Developer well-versed in crafting Microsoft Word Add-In tools. The selected individual will join a dynamic team dedicated to creating a Microsoft Word Add-In tailored for the legal sector. We will share mockups.

This app taps into OpenAI's GPT-r Large Language Model (LLM) to guide users in generating crisp, legally accurate class notices. It not only reviews the textual content but also pinpoints potential discrepancies, suggesting alternative wording that ensure both legal clarity and enhanced readability.

Primary Duties

- Design a resilient, scalable backend utilizing Python and its rich AI and ML libraries

- Harness the capabilities of the GPT-4 AI model for in-depth content assessment and recommendation creation

- Engineer APIs for seamless integration with Microsoft Word

- Embed top-notch security protocols to safeguard user information and documents.

- Work closely with the core team to achieve project goals within stipulated deadlines.

Qualitifications

- Demonstrated expertise in crafting Microsoft Word Add-In tools.

- Solid command over Python, complemented by knowledge of AI and ML frameworks

- Prior work with GPT-4 or analogous AI frameworks

- Acquaintance with cybersecurity best practices and data safeguarding

- Experience with NoSQL databases, particularly MongoDB

- Hands-on experience with cloud platforms like AWS or Google Cloud

Qualifications:

•Personal projects focused on building LLM (Large Language Model) applications.

• Experience working with GPT-3.5/GPT-4.

• Proficiency in both frontend and backend development.

• Proven experience in database creation and management.

• Hands-on experience in building background task manager systems.

Responsibilities:

• Team Collaboration: Work alongside cross-functional teams to determine project requirements and objectives for LLM integration.

• Full-cycle Development: Design, develop, and optimize both front-end and back-end components throughout all project phases, from MVP demonstrations to full-scale production-ready systems.

• Continuous Iteration: Rapidly prototype and iterate on ideas, making adjustments based on feedback from customers and stakeholders.

• LLM Integration: Ensure the smooth integration of LLMs into existing systems. This includes the design and integration of APIs and databases.

• Stay Updated: Regularly update your knowledge on the latest trends and advancements in the LLM application space.

Scope of Work:

• Database Management (PostgreSQL):

• Design tables and relationships to achieve optimal normalization.

• Facilitate efficient indexing and querying mechanisms.

• Construct and implement a schema to accommodate various data types.

• Create and deploy efficient transaction functions, ensuring data integrity.

• Develop mechanisms for reliable transactions, even with asynchronous tasks accessing the database.

• Background Task Manager:

• Install and integrate Celery with the existing application.

• Set up and configure RabbitMQ as the message broker.

• Design a task queuing system utilizing Celery and RabbitMQ.

• Implement a priority-based task processing mechanism.

• Construct tools to oversee the status of tasks and design debugging procedures for tasks that fail.

• Backend Development (FastAPI):

• Develop asynchronous background tasks.

• Implement real-time response streaming for LLM using web sockets.

• Integrate third-party APIs.

• Manage exports by creating modules that convert data to various formats.

• Frontend Development:

• Overhaul using the React framework.

• Design and implement reusable templates and components.

• Guarantee compatibility across a spectrum of devices and screen sizes.

• Manage web sockets effectively for real-time processing.

• Large Language Models:

• Possess prompt engineering knowledge.

• Be familiar with popular libraries and NLP frameworks.

• Develop parsers to extract data from LLM outputs.

• Manage and process these outputs effectively.

• Write Python scripts to further process output data.

Note: All applicants should have a strong work ethic, demonstrate excellent problem-solving skills, and have a passion for continuous learning.

Qualifications:

•Personal projects focused on building LLM (Large Language Model) applications.

• Experience working with GPT-3.5/GPT-4.

• Proficiency in both frontend and backend development.

• Proven experience in database creation and management.

• Hands-on experience in building background task manager systems.

Responsibilities:

• Team Collaboration: Work alongside cross-functional teams to determine project requirements and objectives for LLM integration.

• Full-cycle Development: Design, develop, and optimize both front-end and back-end components throughout all project phases, from MVP demonstrations to full-scale production-ready systems.

• Continuous Iteration: Rapidly prototype and iterate on ideas, making adjustments based on feedback from customers and stakeholders.

• LLM Integration: Ensure the smooth integration of LLMs into existing systems. This includes the design and integration of APIs and databases.

• Stay Updated: Regularly update your knowledge on the latest trends and advancements in the LLM application space.

Scope of Work:

• Database Management (PostgreSQL):

• Design tables and relationships to achieve optimal normalization.

• Facilitate efficient indexing and querying mechanisms.

• Construct and implement a schema to accommodate various data types.

• Create and deploy efficient transaction functions, ensuring data integrity.

• Develop mechanisms for reliable transactions, even with asynchronous tasks accessing the database.

• Background Task Manager:

• Install and integrate Celery with the existing application.

• Set up and configure RabbitMQ as the message broker.

• Design a task queuing system utilizing Celery and RabbitMQ.

• Implement a priority-based task processing mechanism.

• Construct tools to oversee the status of tasks and design debugging procedures for tasks that fail.

• Backend Development (FastAPI):

• Develop asynchronous background tasks.

• Implement real-time response streaming for LLM using web sockets.

• Integrate third-party APIs.

• Manage exports by creating modules that convert data to various formats.

• Frontend Development:

• Overhaul using the React framework.

• Design and implement reusable templates and components.

• Guarantee compatibility across a spectrum of devices and screen sizes.

• Manage web sockets effectively for real-time processing.

• Large Language Models:

• Possess prompt engineering knowledge.

• Be familiar with popular libraries and NLP frameworks.

• Develop parsers to extract data from LLM outputs.

• Manage and process these outputs effectively.

• Write Python scripts to further process output data.

Note: All applicants should have a strong work ethic, demonstrate excellent problem-solving skills, and have a passion for continuous learning.

We are a growing cloud solutions company specializing in cutting-edge tech innovations. We're hosting an in-depth webinar on the integration of Llama (Meta's private LLM) with AWS and its transformative potential for businesses. Our webinar aims to both educate and inspire potential clients on the value of Llama and our accompanying services.

We're seeking a seasoned AI expert with deep knowledge of Large Language Models, specifically Llama by Meta, and its integration with AWS. This role requires not only technical expertise but also excellent communication skills to co-present with our team.

Responsibilities:

1. Collaborate closely with our in-house team to understand the webinar's goals, audience, and content.

2. Assist in refining the presentation content to ensure accuracy, depth, and clarity.

3. Co-host the webinar: present technical details, address complex questions, and engage with attendees.

4. Attend pre-webinar rehearsals and coordination meetings.

5. Provide a post-webinar summary and insights for improvement for potential future events.

Requirements:

1. Proven expertise in Large Language Models, with specific knowledge about Llama by Meta.

2. Familiarity with AWS and its services related to deploying and maintaining AI models.

3. Exceptional communication skills, with experience in public speaking or hosting events.

4. A collaborative mindset and ability to work well with our AI developer and broader team.

5. References or samples of past presentations or talks would be highly beneficial.

We are looking for a skilled Language Model Developer who can build large language models and deploy them to production. The ideal candidate will have a deep understanding of natural language processing (NLP) and experience in working with large datasets. The main responsibilities of this role include developing and training language models, fine-tuning models for specific tasks, and deploying them to production systems. The candidate should be proficient in LLM deployment (Streamlit) and machine learning frameworks like TensorFlow or PyTorch, and have experience with cloud-based deployment platforms such as AWS. Strong communication and problem-solving skills are also key in this role.

Relevant skills:

- Natural Language Processing (NLP)

- LLMs

- Machine Learning

- TensorFlow

- PyTorch

- Cloud-based deployment platforms

We are looking for a skilled Language Model Developer who can build large language models and deploy them to production. The ideal candidate will have a deep understanding of natural language processing (NLP) and experience in working with large datasets. The main responsibilities of this role include developing and training language models, fine-tuning models for specific tasks, and deploying them to production systems. The candidate should be proficient in LLM deployment (Streamlit) and machine learning frameworks like TensorFlow or PyTorch, and have experience with cloud-based deployment platforms such as AWS. Strong communication and problem-solving skills are also key in this role.

Relevant skills:

- Natural Language Processing (NLP)

- LLMs

- Machine Learning

- TensorFlow

- PyTorch

- Cloud-based deployment platforms

We are a startup located in the US with an experienced founding team. Having had success with previous ventures, we're now focusing on our next project in SportsTech. We're currently looking to grow our AI team and are seeking a competent AI Engineer. Our objective is to use artificial intelligence to solve challenges in the SportsTech domain.

Role Overview:

============

As our AI Engineer, you will have a strong foundation in AI and ML. Your main task is to stay updated with current trends in AI, analyze large data sets to derive insights, and develop cutting-edge algorithms to push our projects forward.

Key Responsibilities:

================

Model Development: Create and optimize AI models according to project needs.

API Integration: Convert AI/ML models into accessible APIs for developers.

Data Analysis: Conduct statistical evaluations on large data sets for insights.

Project Management: Handle infrastructure related to AI model development and projects.

Team Collaboration: Work alongside ML engineers, data specialists, and other AI engineers for model development.

We are a fast moving team, you must be able to keep up, and push us even further.

1. You love AI, and have already used AI / ML for one or more projects.

2. You understand the current landscape of AI, new trends, libraries, challenges etc.

3. You know how to use LLM, enhance its knowledge using various methodologies, embeddings, retrieval methods, fine tuning etc.

4. You are inquisitive, passionate, driven and distraction free. You will live and breathe this role.

5. You have a bachelor's degree in computer science, data science, software development, or a related discipline. Master's degree is preferable.

6. You are proficient in key programming languages like Python, C/C++, Javascript.

7. You have a deep grasp of statistical methods, algorithmic designs, and essential mathematical foundations, including linear algebra and probability.

8. You have demonstrated experience in handling extensive data sets and crafting efficient code for swift data processing.

We are a startup located in the US with an experienced founding team. Having had success with previous ventures, we're now focusing on our next project in SportsTech. We're currently looking to grow our AI team and are seeking a competent AI Engineer. Our objective is to use artificial intelligence to solve challenges in the SportsTech domain.

Role Overview:

============

As our AI Engineer, you will have a strong foundation in AI and ML. Your main task is to stay updated with current trends in AI, analyze large data sets to derive insights, and develop cutting-edge algorithms to push our projects forward.

Key Responsibilities:

================

Model Development: Create and optimize AI models according to project needs.

API Integration: Convert AI/ML models into accessible APIs for developers.

Data Analysis: Conduct statistical evaluations on large data sets for insights.

Project Management: Handle infrastructure related to AI model development and projects.

Team Collaboration: Work alongside ML engineers, data specialists, and other AI engineers for model development.

We are a fast moving team, you must be able to keep up, and push us even further.

1. You love AI, and have already used AI / ML for one or more projects.

2. You understand the current landscape of AI, new trends, libraries, challenges etc.

3. You know how to use LLM, enhance its knowledge using various methodologies, embeddings, retrieval methods, fine tuning etc.

4. You are inquisitive, passionate, driven and distraction free. You will live and breathe this role.

5. You have a bachelor's degree in computer science, data science, software development, or a related discipline. Master's degree is preferable.

6. You are proficient in key programming languages like Python, C/C++, Javascript.

7. You have a deep grasp of statistical methods, algorithmic designs, and essential mathematical foundations, including linear algebra and probability.

8. You have demonstrated experience in handling extensive data sets and crafting efficient code for swift data processing.

Project Overview:

We are seeking a skilled and detail-oriented freelancer to assist us in enhancing Databricks User Interface by incorporating a chatbot powered by a Large Language Model (LLM). The primary objective of the chatbot is to provide users with real-time assistance and answers related to utilizing the features and functionalities of Databricks effectively.

Responsibilities:

As a Data Annotation Specialist for the project, you will play a pivotal role in ensuring accurate and comprehensive responses from the chatbot. Your responsibilities will include:

- Annotating and labeling a variety of questions related to using Databricks effectively.

- Categorizing questions based on different aspects of Databricks, such as data processing, machine learning, collaborative features, etc.

- Ensuring that the chatbot's responses are clear, concise, and accurately address the user's queries.

- Collaborating with our development team to continuously improve the chatbot's performance by refining annotations.

Qualifications:

- Strong proficiency in English language, both written and spoken.

- SQL Database Proficiency

- Familiarity with Databricks and its features is a plus.

- Experience with data annotation, natural language processing (NLP), or similar tasks.

- Attention to detail and ability to maintain consistency and accuracy in annotations.

- Excellent communication skills and ability to work independently.

- Problem-solving mindset and adaptability to evolving project requirements.

Project Overview:

We are seeking a skilled and detail-oriented freelancer to assist us in enhancing Databricks User Interface by incorporating a chatbot powered by a Large Language Model (LLM). The primary objective of the chatbot is to provide users with real-time assistance and answers related to utilizing the features and functionalities of Databricks effectively.

Responsibilities:

As a Data Annotation Specialist for the project, you will play a pivotal role in ensuring accurate and comprehensive responses from the chatbot. Your responsibilities will include:

- Annotating and labeling a variety of questions related to using Databricks effectively.

- Categorizing questions based on different aspects of Databricks, such as data processing, machine learning, collaborative features, etc.

- Ensuring that the chatbot's responses are clear, concise, and accurately address the user's queries.

- Collaborating with our development team to continuously improve the chatbot's performance by refining annotations.

Qualifications:

- Strong proficiency in English language, both written and spoken.

- SQL Database Proficiency

- Familiarity with Databricks and its features is a plus.

- Experience with data annotation, natural language processing (NLP), or similar tasks.

- Attention to detail and ability to maintain consistency and accuracy in annotations.

- Excellent communication skills and ability to work independently.

- Problem-solving mindset and adaptability to evolving project requirements.

Job Description:

Keeping up with the cutting-edge Diffusion models and implementing them in the context of e-commerce scenarios.

Embracing a fully AI-Native development paradigm to efficiently leverage LLM (Large Language Model) for significant improvements in various business metrics.

Handling large-scale information extraction and automated mapping tasks, as well as training tasks involving multi-modal large models for text/image/video matching.

Tackling the challenges posed by algorithms and algorithm engineering due to the massive amount of data.

We look forward to having exceptional individuals join us in tackling the most challenging algorithmic problems in the e-commerce field during the AIGC era.

Job Responsibilities:

Keeping track of the latest advancements in the AIGC community and applying algorithm models to business scenarios.

Performing semantic information extraction to classify and extract information from billions of web pages.

Reading numerous research papers and reproducing demos.

Job Requirements:

Ability to quickly read deep learning research papers, possessing strong coding skills, and being deeply passionate about technology.

Strong communication skills and the ability to collaborate across departments.

Job Description:

Keeping up with the cutting-edge Diffusion models and implementing them in the context of e-commerce scenarios.

Embracing a fully AI-Native development paradigm to efficiently leverage LLM (Large Language Model) for significant improvements in various business metrics.

Handling large-scale information extraction and automated mapping tasks, as well as training tasks involving multi-modal large models for text/image/video matching.

Tackling the challenges posed by algorithms and algorithm engineering due to the massive amount of data.

We look forward to having exceptional individuals join us in tackling the most challenging algorithmic problems in the e-commerce field during the AIGC era.

Job Responsibilities:

Keeping track of the latest advancements in the AIGC community and applying algorithm models to business scenarios.

Performing semantic information extraction to classify and extract information from billions of web pages.

Reading numerous research papers and reproducing demos.

Job Requirements:

Ability to quickly read deep learning research papers, possessing strong coding skills, and being deeply passionate about technology.

Strong communication skills and the ability to collaborate across departments.

1) Goal of our team:

We want to get a powerful open source Large Language Model running on an own instance.

Purpose of the LLM is to power a chatbot with which one can have human like conversations. The chatbot should be able to take different characters and act as such character in a roleplay fashion.

The conversation should be free of the current typical LLM censorship so that the conversations can go in all directions the user prefers.

2) The Job:

- Educating us on the landscape of tools, the different Large Language Models, on how to generally get a uncensored open source LLM for roleplay chatbot purposes running

- Help deciding for the best open source LLM version. Example LLMs to compare:

- https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard

- Education on SillyTavern or alternatives. What is it exactly, how can it be used…

- Education on janitorAI or alternatives.

- Education on fine-tuning. Possibly fine-tune in tested and provided ways like this:

https://huggingface.co/lemonilia/limarp-llama2

or fine-tune on our own data (we have a large amount of data)

- Educate on Prompt Engineering (if applicable). In other words: Help us use the model in a way so that we achieve the goals we have with it

- Mapping out what would have to be done

- Creating a scope for such a whole job (with time effort pricetag etc)

3) Potential follow-up job:

- Launch the chosen LLM on an own (cloud?) instance and get it running for our purposes

4) Further tools of interest:

- sillyTavern

- janitorAI

1) Goal of our team:

We want to get a powerful open source Large Language Model running on an own instance.

Purpose of the LLM is to power a chatbot with which one can have human like conversations. The chatbot should be able to take different characters and act as such character in a roleplay fashion.

The conversation should be free of the current typical LLM censorship so that the conversations can go in all directions the user prefers.

2) The Job:

- Educating us on the landscape of tools, the different Large Language Models, on how to generally get a uncensored open source LLM for roleplay chatbot purposes running

- Help deciding for the best open source LLM version. Example LLMs to compare:

- https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard

- Education on SillyTavern or alternatives. What is it exactly, how can it be used…

- Education on janitorAI or alternatives.

- Education on fine-tuning. Possibly fine-tune in tested and provided ways like this:

https://huggingface.co/lemonilia/limarp-llama2

or fine-tune on our own data (we have a large amount of data)

- Educate on Prompt Engineering (if applicable). In other words: Help us use the model in a way so that we achieve the goals we have with it

- Mapping out what would have to be done

- Creating a scope for such a whole job (with time effort pricetag etc)

3) Potential follow-up job:

- Launch the chosen LLM on an own (cloud?) instance and get it running for our purposes

4) Further tools of interest:

- sillyTavern

- janitorAI

We are seeking a skilled Software Developer with experience in building and launching Microsoft Word Add-In products. The successful candidate will be part of a team working on developing a Microsoft Word Add-In app specifically designed for legal professionals--see attached mockups.

The app leverages the capabilities of OpenAI's GPT-4 Large Language Model (LLM) to assist in the creation of clear, precise, and legally sound class notices. It evaluates written content, highlights potential inconsistencies, and offers alternative language suggestions that uphold legal precision and enhance overall readability.

Key Responsibilities:

1. Develop a robust and scalable backend using Python and its extensive AI and machine learning libraries.

2. Leverage the GPT-4 AI model for content analysis and suggestion generation.

3. Develop APIs for integration with Microsoft Word.

4. Implement robust security measures to protect user data and documents.

5. Collaborate with the project team to meet project milestones and timelines.

Required Skills and Experience:

1. Proven experience in developing Microsoft Word Add-In products.

2. Strong proficiency in Python and familiarity with AI and machine learning libraries.

3. Experience with GPT-4 or similar AI models.

4. Knowledge of secure coding practices and data protection protocols.

5. Familiarity with NoSQL databases like MongoDB.

6. Experience with cloud-based solutions such as AWS or Google Cloud.

Preferred Skills:

1. Experience in developing software for legal professionals.

2. Familiarity with data protection and privacy laws and regulations, including GDPR and CCPA.

This is a remote position with flexible working hours. If you are passionate about AI and eager to make a significant impact in the legal field, we would love to hear from you.