
Advanced AI Model Developer
7 days ago
We are seeking a highly motivated and experienced AI/ML professional to play a critical role in developing domain-specific vertical models, curating datasets, optimizing performance, and deploying production-ready models.
Key Responsibilities:
- Design, configure, and deploy Large Language Models (LLMs) and Small Language Models (SLMs) for enterprise applications.
- Develop and fine-tune LLMs for specific verticals, such as Finance, Legal, and Fraud Detection.
- Write efficient Python code for training pipelines, model orchestration, inference services, and dataset management.
- Build, clean, and label datasets for supervised fine-tuning and evaluation.
- Conduct experimentation and benchmarking across models to measure accuracy, latency, and cost-performance trade-offs.
- Apply Retrieval-Augmented Generation (RAG) techniques, embedding models, and vector database integrations.
- Ensure security, compliance, and scalability of deployed LLM solutions.
- Collaborate with cross-functional teams to integrate models into enterprise platforms.
Required Skills and Qualifications:
- 4-6 years of experience in AI/ML development, with a strong focus on NLP and GenAI.
- Hands-on expertise in LLMs like GPT, LLaMA, Falcon, Mistral, or similar open models.
- Proficiency in Python and key libraries (Transformers, LangChain, Pydantic, etc.).
- Experience with dataset creation, curation, and labeling for fine-tuning tasks.
- Knowledge of vector databases, embeddings, and similarity search.
- Familiarity with model serving frameworks (e.g., FastAPI, Flask, Triton).
- Ability to optimize model inference for latency and cost efficiency.
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