Posted:2 days ago|
Platform:
Work from Office
Full Time
Design, build, and deploy NLP and LLM-based models tailored to domain-specific needs (e.g., chatbots, summarization, classification).
Fine-tune and adapt foundation models (e.g., GPT, LLaMA, Mistral) for business use cases.Build custom pipelines for text processing, entity recognition, language understanding, and speech-to-text integrations.Work closely with engineering teams to integrate AI models into production systems (APIs, microservices, and edge deployments).Conduct experimentation, model evaluations, and performance tuning for latency, accuracy, and scalability.Collaborate cross-functionally with product, infra, and DevOps teams to ensure smooth deployment and monitoring of models.Required Skills & Experience:
Strong experience with Python, PyTorch, or TensorFlow.
Proven track record in training, fine-tuning, and deploying LLMs or transformer-based models (BERT, GPT, T5, etc.).Solid understanding of NLP fundamentals tokenization, embeddings, attention, text classification, sequence labeling, etc.Experience with model deployment tools: FastAPI, Flask, Docker, REST APIs.Exposure to data pipelines and MLOps tools (MLflow, Weights & Biases, SageMaker, etc.).Knowledge of speech-based interfaces or integration with telephony/speech systems is a strong plus.Ability to translate business problems into AI solutions.Experience with RAG (Retrieval Augmented Generation) pipelines.Familiarity with LangChain, LlamaIndex, or similar agentic/LLM orchestration tools.Understanding of model security, prompt injection risks, and observability.
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