Skill : Generative AI Engineer
Preferred Location : Hyderabad
Experience Required : 4 to 8 years
Responsibilities :
- Design, build, and deploy generative AI solutions using LLMs such as 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 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).
- Ensure robustness, scalability, and compliance of AI models in deployment environments.
- Good to have experience in finetuning 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.
- Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.
Mandatory Skill Sets
Generative AI (LLMs, Transformers)Python, PyTorch, Hugging Face TransformersAzure / AWS / GCP cloud platformsLangChain or similar orchestration frameworksREST APIs, FastAPI, FlaskML 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 prototypingDocker, Kubernetes (for model deployment)Data preprocessing & feature engineeringNLP libraries : spaCy, NLTK, Transformers