AI/ML Developer – LLM & Prompt Engineering Focus

الوصف

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.

Missions :

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.

Profil :

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
Fluency in English is a must
MUST submit a Resume in English

Autres :

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Ingénieur IA