Muoro - Python Developer - LLM/Generative AI (3-5 yrs)

Key Responsibilities :

- Prompt Engineering : Design, test, and refine advanced prompts to optimize performance for Large Language Models (LLMs) and Generative AI applications. Strong proficiency in Python Fast API and its AI/ML libraries (TensorFlow, PyTorch, scikit-learn, etc.).

- Model Development : Develop, train, and fine-tune deep learning models using machine learning and deep learning frameworks.

- Integration : Build robust APIs and integrate LLMs and generative AI models into enterprise applications and platforms.

- Python Development : Develop and optimize Python scripts and libraries to support AI model deployment and automation tasks.

- Research & Development : Stay up-to-date with the latest advancements in AI and LLM technologies and apply them to enhance project outcomes.

- Performance Optimization : Monitor, evaluate, and improve model accuracy, speed, and scalability.

- Collaboration : Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality solutions.

Required Skills and Experience :

Technical Skills :

- Expertise in deep learning architectures, including transformers and large-scale language models.

- Experience with prompt engineering for LLMs (e.g., GPT, BERT).

- Proficiency in integrating AI models into production environments (APIs, microservices).

- Familiarity with cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes).

Experience :

- 3-5 years of experience in machine learning, deep learning, or natural language processing (NLP).

- Proven track record of working on LLM or generative AI projects.

Soft Skills :

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork abilities.

- Ability to work independently in a fast-paced environment.

Preferred Qualifications :

- Experience with distributed training and model parallelization.

- Knowledge of MLOps practices.

- Exposure to fine-tuning and customizing open-source LLMs.

- Familiarity with vector databases (e.g., Pinecone, FAISS).