
Innovative AI Solutions Developer
1 day ago
This is an exciting opportunity to work as a software engineer in the field of generative artificial intelligence.
Our ideal candidate will have experience with deep learning frameworks such as PyTorch and Hugging Face Transformers, and be proficient in Python programming language.
The successful candidate will design, build, and deploy innovative generative AI solutions using LLMs and foundation models.
Responsibilities:
- Design, develop, and deploy generative AI models using various deep learning frameworks.
- 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, Hugging Face Transformers, or LangChain.
- Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms (Azure/AWS/GCP).
Required Skills and Qualifications:
Core Requirements:
- 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 Skills:
- 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
Benefits:
As a member of our team, you will have opportunities to collaborate with experienced professionals in the field of generative AI.
We offer a competitive salary and benefits package, including health insurance, retirement savings plan, and paid time off.
Join our community of innovators and contribute your skills and expertise to the development of cutting-edge AI technologies.
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