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We are seeking an experienced AI/ML Developer to design, build and deploy next-generation AI solutions, with a focus on Generative AI, Deep Learning, Natural Language Processing (NLP), and Retrieval Augmented Generation (RAG). The role involves end-to-end ownership of AI/ML model development, from data ingestion to production deployment.
Key Responsibilities
- Design, develop, and implement scalable AI/ML models using Deep Learning and NLP techniques.
- Develop and fine-tune Generative AI models (LLMs, diffusion models, transformers) for various business use cases.
- Architect and implement RAG pipelines combining large language models with vector databases and retrieval frameworks.
- Preprocess, clean and transform structured/unstructured datasets to ensure quality inputs for model training.
- Build and deploy AI APIs and services into production environments using MLOps best practices.
- Collaborate with cross-functional teams (data engineering, product, DevOps) to integrate AI solutions into applications.
- Evaluate new tools, frameworks, and research trends in AI/ML to drive innovation.
- Create documentation, guidelines, and reusable components for AI/ML pipelines.
- Bachelors/Masters degree in Computer Science, Data Science, Engineering, or related field.
- 25+ years of hands-on experience in AI/ML model development.
- Strong proficiency in Python and ML/DL frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
- Demonstrated experience with Generative AI (LLMs, prompt engineering, fine-tuning).
- Strong understanding of Deep Learning architectures (CNNs, RNNs, Transformers).
- Expertise in Natural Language Processing (text classification, NER, summarization, question answering).
- Hands-on experience with RAG frameworks and vector databases (FAISS, Pinecone, Weaviate, Milvus, ChromaDB).
Key Skills
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