AI/ GPT Intern

AI/ GPT Intern

AI/ GPT Intern

AI/ GPT Intern

Fully Remote

Fully Remote

Fully Remote

Fully Remote

Accra, Ghana

Accra, Ghana

Accra, Ghana

Accra, Ghana

Salary/ Stipend:

Salary/ Stipend:

Salary/ Stipend:

Salary/ Stipend:

GH¢1,000 - GH¢1,500

GH¢1,000 - GH¢1,500

GH¢1,000 - GH¢1,500

GH¢1,000 - GH¢1,500

Overview:

At FORMICA, we challenge the status quo and constantly look for creative solutions that inspire growth and change. Are you passionate about AI research, data science, and applying machine learning models to solve real-world challenges? Then you may be our next AI/ ML intern.

As an AI/GPT Intern, you’ll dive into the world of Generative AI, Large Language Models (LLMs), and conversational AI, helping to develop, fine-tune, and optimize AI-driven solutions. This role is perfect for someone passionate about natural language processing (NLP), AI automation, and pushing the boundaries of what AI-powered assistants can do. You’ll work closely with data scientists, engineers, and product teams to implement and enhance AI models for real-world applications.

Overview:

At FORMICA, we challenge the status quo and constantly look for creative solutions that inspire growth and change. Are you passionate about AI research, data science, and applying machine learning models to solve real-world challenges? Then you may be our next AI/ ML intern.

As an AI/GPT Intern, you’ll dive into the world of Generative AI, Large Language Models (LLMs), and conversational AI, helping to develop, fine-tune, and optimize AI-driven solutions. This role is perfect for someone passionate about natural language processing (NLP), AI automation, and pushing the boundaries of what AI-powered assistants can do. You’ll work closely with data scientists, engineers, and product teams to implement and enhance AI models for real-world applications.

Overview:

At FORMICA, we challenge the status quo and constantly look for creative solutions that inspire growth and change. Are you passionate about AI research, data science, and applying machine learning models to solve real-world challenges? Then you may be our next AI/ ML intern.

As an AI/GPT Intern, you’ll dive into the world of Generative AI, Large Language Models (LLMs), and conversational AI, helping to develop, fine-tune, and optimize AI-driven solutions. This role is perfect for someone passionate about natural language processing (NLP), AI automation, and pushing the boundaries of what AI-powered assistants can do. You’ll work closely with data scientists, engineers, and product teams to implement and enhance AI models for real-world applications.

What You’ll Do:

  • Develop and fine-tune GPT-based language models for chatbots, content generation, and business automation.

  • Optimize prompt engineering techniques to improve AI-generated responses.

  • Conduct research on state-of-the-art advancements in LLMs, NLP, and conversational AI.

  • Train and evaluate AI models using datasets tailored to specific use cases.

  • Assist in integrating AI models into products, ensuring efficiency and scalability.

  • Monitor model performance, identify biases, and implement strategies to improve accuracy and relevance.

  • Explore and experiment with open-source LLMs (LLaMA, Falcon, Mistral, etc.) for customized solutions.

  • Collaborate with engineers to deploy AI models via APIs and cloud platforms (AWS, GCP, Azure).

  • Document findings, create knowledge-sharing resources, and present key insights.

What You’ll Do:

  • Develop and fine-tune GPT-based language models for chatbots, content generation, and business automation.

  • Optimize prompt engineering techniques to improve AI-generated responses.

  • Conduct research on state-of-the-art advancements in LLMs, NLP, and conversational AI.

  • Train and evaluate AI models using datasets tailored to specific use cases.

  • Assist in integrating AI models into products, ensuring efficiency and scalability.

  • Monitor model performance, identify biases, and implement strategies to improve accuracy and relevance.

  • Explore and experiment with open-source LLMs (LLaMA, Falcon, Mistral, etc.) for customized solutions.

  • Collaborate with engineers to deploy AI models via APIs and cloud platforms (AWS, GCP, Azure).

  • Document findings, create knowledge-sharing resources, and present key insights.

What You’ll Do:

  • Develop and fine-tune GPT-based language models for chatbots, content generation, and business automation.

  • Optimize prompt engineering techniques to improve AI-generated responses.

  • Conduct research on state-of-the-art advancements in LLMs, NLP, and conversational AI.

  • Train and evaluate AI models using datasets tailored to specific use cases.

  • Assist in integrating AI models into products, ensuring efficiency and scalability.

  • Monitor model performance, identify biases, and implement strategies to improve accuracy and relevance.

  • Explore and experiment with open-source LLMs (LLaMA, Falcon, Mistral, etc.) for customized solutions.

  • Collaborate with engineers to deploy AI models via APIs and cloud platforms (AWS, GCP, Azure).

  • Document findings, create knowledge-sharing resources, and present key insights.

What You’ll Bring:

  • Strong knowledge of natural language processing (NLP) and machine learning.

  • Hands-on experience with Python, TensorFlow, PyTorch, and Hugging Face Transformers.

  • Familiarity with LLM fine-tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and Retrieval-Augmented Generation (RAG).

  • Understanding of text generation, embeddings, and model inference.

  • Experience working with APIs like OpenAI’s GPT, Claude, or other LLM providers.

  • Analytical mindset with a problem-solving approach to AI-related challenges.

  • Strong curiosity for AI ethics, model interpretability, and AI safety.

What You’ll Bring:

  • Strong knowledge of natural language processing (NLP) and machine learning.

  • Hands-on experience with Python, TensorFlow, PyTorch, and Hugging Face Transformers.

  • Familiarity with LLM fine-tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and Retrieval-Augmented Generation (RAG).

  • Understanding of text generation, embeddings, and model inference.

  • Experience working with APIs like OpenAI’s GPT, Claude, or other LLM providers.

  • Analytical mindset with a problem-solving approach to AI-related challenges.

  • Strong curiosity for AI ethics, model interpretability, and AI safety.

What You’ll Bring:

  • Strong knowledge of natural language processing (NLP) and machine learning.

  • Hands-on experience with Python, TensorFlow, PyTorch, and Hugging Face Transformers.

  • Familiarity with LLM fine-tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and Retrieval-Augmented Generation (RAG).

  • Understanding of text generation, embeddings, and model inference.

  • Experience working with APIs like OpenAI’s GPT, Claude, or other LLM providers.

  • Analytical mindset with a problem-solving approach to AI-related challenges.

  • Strong curiosity for AI ethics, model interpretability, and AI safety.

You’ll Impress Us If:

  • You’ve built or contributed to an AI chatbot, virtual assistant, or generative AI project.

  • You have experience with vector databases (Pinecone, Weaviate, FAISS) for AI memory and retrieval.

  • You’ve experimented with open-source LLMs (Meta’s LLaMA, Mistral, Falcon, etc.).

  • You’re proficient in AI-powered automation tools like LangChain, AutoGPT, or Agent-based AI systems.

  • You’re familiar with multi-modal AI models combining text, image, and voice generation.

  • You’re passionate about AI’s role in business, productivity, and enhancing user experiences.

You’ll Impress Us If:

  • You’ve built or contributed to an AI chatbot, virtual assistant, or generative AI project.

  • You have experience with vector databases (Pinecone, Weaviate, FAISS) for AI memory and retrieval.

  • You’ve experimented with open-source LLMs (Meta’s LLaMA, Mistral, Falcon, etc.).

  • You’re proficient in AI-powered automation tools like LangChain, AutoGPT, or Agent-based AI systems.

  • You’re familiar with multi-modal AI models combining text, image, and voice generation.

  • You’re passionate about AI’s role in business, productivity, and enhancing user experiences.

You’ll Impress Us If:

  • You’ve built or contributed to an AI chatbot, virtual assistant, or generative AI project.

  • You have experience with vector databases (Pinecone, Weaviate, FAISS) for AI memory and retrieval.

  • You’ve experimented with open-source LLMs (Meta’s LLaMA, Mistral, Falcon, etc.).

  • You’re proficient in AI-powered automation tools like LangChain, AutoGPT, or Agent-based AI systems.

  • You’re familiar with multi-modal AI models combining text, image, and voice generation.

  • You’re passionate about AI’s role in business, productivity, and enhancing user experiences.

Benefits:

  • Hands-on AI Innovation: Work on cutting-edge AI projects in a fast-paced, learning-driven environment.

  • Mentorship & Growth: Get guidance from AI experts and access industry-leading tools.

  • Flexible Work Setup: Remote-friendly with opportunities for in-person collaboration.

  • Career Acceleration: Potential for a full-time role based on performance.

  • Impact-Driven Work: Be part of a team shaping AI-powered solutions for real-world

Benefits:

  • Hands-on AI Innovation: Work on cutting-edge AI projects in a fast-paced, learning-driven environment.

  • Mentorship & Growth: Get guidance from AI experts and access industry-leading tools.

  • Flexible Work Setup: Remote-friendly with opportunities for in-person collaboration.

  • Career Acceleration: Potential for a full-time role based on performance.

  • Impact-Driven Work: Be part of a team shaping AI-powered solutions for real-world

Benefits:

  • Hands-on AI Innovation: Work on cutting-edge AI projects in a fast-paced, learning-driven environment.

  • Mentorship & Growth: Get guidance from AI experts and access industry-leading tools.

  • Flexible Work Setup: Remote-friendly with opportunities for in-person collaboration.

  • Career Acceleration: Potential for a full-time role based on performance.

  • Impact-Driven Work: Be part of a team shaping AI-powered solutions for real-world