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3 days ago
Unlock Your Potential as a Large Language Model (LLM) Expert
Job DescriptionWe're seeking a highly motivated and experienced professional with 4–6 years of hands-on expertise in developing, configuring, and fine-tuning LLMs. As an AI Engineer, you'll be responsible for designing, deploying, and maintaining cutting-edge LLM-based solutions.
Key Responsibilities:- Design and configure LLM-based solutions using open-source models and APIs.
- Develop and fine-tune Small Language Models (SLMs) for specific enterprise verticals.
- 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.
- 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.
- Ability to optimize model inference for latency and cost efficiency.
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