Annuaire des professionnels
du numérique et des technologies
Description
We are seeking a passionate and skilled AI/ML Developer with hands-on experience in Large Language Models (LLMs), Python, and prompt engineering. You will be responsible for designing, developing, and deploying AI-powered solutions using state-of-the-art machine learning models with a focus on language understanding and generation. This role requires a blend of technical depth, logical problem-solving, and strong communication skills to translate complex business requirements into scalable AI solutions.
__Responsibilities:__
* Design, fine-tune, and deploy LLM-based solutions for real-world business problems.
* Develop and optimize prompts to guide model behavior for various use cases.
* Write clean, efficient, and scalable Python code for model development and integration.
* Analyze model performance and troubleshoot issues with data quality, token usage, and output alignment.
* Collaborate with product owners, data scientists, and engineers to identify and prioritize AI use cases.
* Stay current with the latest advancements in AI/ML, especially in the generative AI space.
* Document model behavior, prompt iterations, and implementation decisions clearly for both technical and non-technical stakeholders.
* Ensure ethical and responsible AI development practices.
__Requirements :__
* Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
* 2-5 years of proven experience working with LLMs (e.g., GPT, LLaMA, Claude, Mistral) in production or prototyping environments.
* Strong programming skills in Python, with experience using relevant libraries (e.g., Transformers, LangChain, OpenAI API, Hugging Face)
* Practical experience in prompt engineering, including prompt chaining, prompt tuning, and system message crafting.
* Solid foundation in machine learning concepts and natural language processing.
* Strong logical thinking and problem-solving skills with an ability to break down complex problems into structured solutions.
* Excellent communication skills – both written and verbal – to convey technical concepts to diverse stakeholders.
__Preferred Qualifications :__
* Experience with model fine-tuning or reinforcement learning from human feedback (RLHF).
* Familiarity with vector databases and retrieval-augmented generation (RAG) techniques.
* Exposure to cloud platforms like AWS, Azure, or GCP.
* Experience with ML Ops, containerization (Docker), and model deployment pipelines.
* Contributions to open-source AI/ML projects or publications in relevant areas.
__Responsibilities:__
* Design, fine-tune, and deploy LLM-based solutions for real-world business problems.
* Develop and optimize prompts to guide model behavior for various use cases.
* Write clean, efficient, and scalable Python code for model development and integration.
* Analyze model performance and troubleshoot issues with data quality, token usage, and output alignment.
* Collaborate with product owners, data scientists, and engineers to identify and prioritize AI use cases.
* Stay current with the latest advancements in AI/ML, especially in the generative AI space.
* Document model behavior, prompt iterations, and implementation decisions clearly for both technical and non-technical stakeholders.
* Ensure ethical and responsible AI development practices.
__Requirements :__
* Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
* 2-5 years of proven experience working with LLMs (e.g., GPT, LLaMA, Claude, Mistral) in production or prototyping environments.
* Strong programming skills in Python, with experience using relevant libraries (e.g., Transformers, LangChain, OpenAI API, Hugging Face)
* Practical experience in prompt engineering, including prompt chaining, prompt tuning, and system message crafting.
* Solid foundation in machine learning concepts and natural language processing.
* Strong logical thinking and problem-solving skills with an ability to break down complex problems into structured solutions.
* Excellent communication skills – both written and verbal – to convey technical concepts to diverse stakeholders.
__Preferred Qualifications :__
* Experience with model fine-tuning or reinforcement learning from human feedback (RLHF).
* Familiarity with vector databases and retrieval-augmented generation (RAG) techniques.
* Exposure to cloud platforms like AWS, Azure, or GCP.
* Experience with ML Ops, containerization (Docker), and model deployment pipelines.
* Contributions to open-source AI/ML projects or publications in relevant areas.
- Catégories: Informatique & Technologies
- Années d'experience: Sénior
- Région: ALGER / ALGERIE
- Publiée le: 27-04-2025 à 06:41:03
