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Senior GenAI Python Developer
3 days ago
Key Responsibilities
- Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability- Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions- Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation- Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications- Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency- Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities- Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success
Required Skills and Experience:
- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.- 4+ years of experience in data science.- Experience with LLMs like Llama (1/2/3), Mistral, T5, Langchain or framework similar like Langchai)- Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning- Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation- Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models- Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.- Experience leading the end-to-end design, development, and deployment of predictive modeling solutions- Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.- SQL skills with SQL Server and Spark experience is preferred but not necessary.- Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks.- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.- Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment.- Experience with cloud platforms such as Azure, AWS, Databricks is preferred
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