Machine Learning and AI Integration Specialist
Budget: $1,500 – $3,000 USD
We are The Workhouse, an innovative recruitment platform seeking an experienced Machine Learning and AI Specialist to enhance our platform with advanced AI functionalities. This role includes developing a Large Language Model (LLM)-powered Assistant for messaging and integrating intelligent machine learning solutions to improve user experience.
This is a project-based role with a budget of $1,800.
Scope of Work:
Core AI Features to Develop:
AI-Powered Recommendations:
Job and gig suggestions tailored to user profiles and activity.
Upskilling and learning pathway recommendations.
Automated CV and Cover Letter Writing:
Role-specific document creation with AI-driven formatting and tone adjustments.
Predictive Analytics:
Insights into job market trends, hiring efficiency, and skill gap analysis.
Sentiment Analysis:
Analyze user interactions for tone and sentiment to improve platform engagement.
LLM-Powered Messaging Assistant:
Create a conversational AI assistant to handle queries, FAQs, and user guidance within the messaging platform.
Integrate the LLM assistant with real-time support systems for seamless escalation to human agents.
Fine-tune the model for domain-specific responses, ensuring accuracy and context relevance.
Key Deliverables:
Machine learning models trained and optimized for platform needs.
APIs for integrating machine learning and LLM features with the platform.
Fully functional and scalable LLM-based messaging assistant.
Comprehensive documentation for models, APIs, and integration workflows.
Performance and Security:
Ensure scalability and fast response times for AI features, including the messaging assistant.
Implement robust data security measures to comply with regulations like GDPR.
Collaboration:
Coordinate with front-end and back-end teams for smooth AI integration.
Provide regular updates and accommodate feedback during development.
Requirements:
Technical Skills:
Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with transformers and LLM frameworks (e.g., Hugging Face, OpenAI GPT).
Proficiency in building and fine-tuning NLP models for sentiment analysis and messaging.
Knowledge of RESTful API development for AI system integration.
Preferred Skills:
Familiarity with pre-trained LLMs and domain-specific fine-tuning.
Experience with real-time messaging systems and chatbot frameworks.
Knowledge of data privacy regulations and secure AI deployment practices.
Portfolio:
Include examples of previous work involving machine learning, NLP, or LLM-powered applications.
Budget:
The total project budget is $1,800. Proposals exceeding this budget will not be considered.
This is a project-based role with a budget of $1,800.
Scope of Work:
Core AI Features to Develop:
AI-Powered Recommendations:
Job and gig suggestions tailored to user profiles and activity.
Upskilling and learning pathway recommendations.
Automated CV and Cover Letter Writing:
Role-specific document creation with AI-driven formatting and tone adjustments.
Predictive Analytics:
Insights into job market trends, hiring efficiency, and skill gap analysis.
Sentiment Analysis:
Analyze user interactions for tone and sentiment to improve platform engagement.
LLM-Powered Messaging Assistant:
Create a conversational AI assistant to handle queries, FAQs, and user guidance within the messaging platform.
Integrate the LLM assistant with real-time support systems for seamless escalation to human agents.
Fine-tune the model for domain-specific responses, ensuring accuracy and context relevance.
Key Deliverables:
Machine learning models trained and optimized for platform needs.
APIs for integrating machine learning and LLM features with the platform.
Fully functional and scalable LLM-based messaging assistant.
Comprehensive documentation for models, APIs, and integration workflows.
Performance and Security:
Ensure scalability and fast response times for AI features, including the messaging assistant.
Implement robust data security measures to comply with regulations like GDPR.
Collaboration:
Coordinate with front-end and back-end teams for smooth AI integration.
Provide regular updates and accommodate feedback during development.
Requirements:
Technical Skills:
Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with transformers and LLM frameworks (e.g., Hugging Face, OpenAI GPT).
Proficiency in building and fine-tuning NLP models for sentiment analysis and messaging.
Knowledge of RESTful API development for AI system integration.
Preferred Skills:
Familiarity with pre-trained LLMs and domain-specific fine-tuning.
Experience with real-time messaging systems and chatbot frameworks.
Knowledge of data privacy regulations and secure AI deployment practices.
Portfolio:
Include examples of previous work involving machine learning, NLP, or LLM-powered applications.
Budget:
The total project budget is $1,800. Proposals exceeding this budget will not be considered.