
AI Solution Architect
2 weeks ago
Job Title: Artificial Intelligence Developer
About the Role:
The successful candidate will be responsible for designing, building, and deploying artificial intelligence solutions using large language models.
Main Responsibilities:
- Fine-tune and customize foundation models using domain-specific datasets and techniques.
- Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
- Implement model pipelines using Python and ML frameworks such as PyTorch or Hugging Face Transformers.
- Collaborate with data engineers and MLOps teams to productionalize AI models on cloud platforms like Azure, AWS, or GCP.
- Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.
- Stay up-to-date with the latest research in AI, foundation models, and relevant open-source tools.
Mandatory Skill Sets:
- Artificial Intelligence (LLMs)
- Python, PyTorch, Hugging Face Transformers
- Azure/AWS/GCP cloud platforms
- ML pipeline tools (MLFlow, Weights & Biases)
- Github CI/CD for ML (e.g., Azure ML, SageMaker pipelines)
Preferred Skill Sets:
- RAG (Retrieval-Augmented Generation)
- Vector DBs (FAISS, Pinecone, Weaviate)
- Docker, Kubernetes (for model deployment)
- Data preprocessing & feature engineering
- NLP libraries: spaCy, NLTK, Transformers
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