Creative AI Systems Developer

2 days ago

Nagpur, Maharashtra, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Generative AI Solutions Engineer

This is an exciting opportunity to join a dynamic team and leverage your expertise in Generative AI to drive business growth.

Key Responsibilities:

• Design, develop, and deploy innovative Generative AI solutions using LLMs like OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).

• Fine-tune and customize foundation models using domain-specific datasets and techniques.

• Develop and optimize prompt engineering strategies to deliver 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).

• Ensure robustness, scalability, and compliance of AI models in deployment environments.

• Good to have experience in fine-tuning models.

• Good to have experience in SLM.

· Integrate GenAI into enterprise applications via APIs or custom interfaces.

· Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.

· Stay up-to-date with the latest research in GenAI, foundation models, and relevant open-source tools.

Mandatory Skills:

• 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

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