
AI Innovation Leader
4 days ago
Job Overview
We are seeking a skilled AI Engineer to design, build, and deploy generative AI solutions using large language models (LLMs).
- Create innovative LLM-based applications to drive business value.
- Fine-tune foundation models using domain-specific datasets and techniques.
- Develop and optimize prompt engineering strategies to achieve accurate and context-aware model responses.
- Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
- Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms.
Mandatory Skill Sets:
- Generative AI (LLMs, Transformers)
- Python, PyTorch, Hugging Face Transformers
- Azure/AWS/GCP cloud platforms
- LangChain or similar orchestration frameworks
- REST APIs, FastAPI, Flask
- ML pipeline tools (MLFlow, Weights & Biases)
- Git CI/CD for ML (e.g., Azure ML, SageMaker pipelines)
Preferred Skill Sets:
- RAG (Retrieval-Augmented Generation)
- Vector DBs (FAISS, Pinecone, Weaviate)
- Streamlit/Gradio for prototyping
- Docker, Kubernetes (for model deployment)
- Data preprocessing & feature engineering
- NLP libraries: spaCy, NLTK, Transformers
The successful candidate will have the opportunity to work on cutting-edge projects and develop their skills in AI engineering.
This is an exciting role for someone who wants to be at the forefront of AI innovation and make a real impact in the industry.
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