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We are seeking a highly skilled
Sr. GenAI Engineer
with a strong background in Data Engineering or Data Science. The ideal candidate will have hands-on experience designing, developing, and deploying Generative AI solutions, with a deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) models.
Responsibilities
Design, build, and optimize GenAI models and workflows for real-world business use cases.
Leverage NLP and ML techniques to build, fine-tune, and deploy language and generative models.
Work closely with Data Science and Engineering teams to integrate GenAI capabilities into data pipelines and applications.
Analyze large datasets to extract insights and improve model performance.
Stay up to date with the latest developments in LLMs, Transformers, and AI frameworks (e.g., LangChain, Hugging Face, OpenAI APIs).
Required Skills & Experience
10+ years of experience in Data Engineering or Data Science roles.
Strong experience with NLP, ML, and Deep Learning frameworks (TensorFlow, PyTorch, etc.).
Hands-on experience with GenAI tools and frameworks such as LangChain, LlamaIndex, OpenAI, or Hugging Face.
Proficiency in Python and experience with data manipulation (Pandas, NumPy, SQL).
Understanding of MLOps and model deployment on cloud platforms (AWS, Azure, or GCP).
Preferred Qualifications
Experience in building chatbots, AI copilots, or text generation/summarization systems.
Familiarity with Vector Databases (e.g., Pinecone, FAISS, Chroma).
Exposure to prompt engineering and RAG (Retrieval-Augmented Generation) techniques.
Seniority level