Senior GenAI Engineer

You are a highly skilled and experienced Senior Generative AI Data Scientist who is passionate about pushing the boundaries of AI innovation. Your main responsibilities will include: - Developing and maintaining advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability - Implementing and optimizing Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions - Developing advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts, and evaluation - Collaborating with cross-functional teams to integrate AI functionalities into broader systems and applications - Utilizing AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency - Staying updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities - Assisting delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success Qualifications required for this role include: - Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience - 6+ years of experience in data science - Experience with LLMs like Llama (1/2/3), Mistral, T5, Langchain or a similar framework - Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts, and evaluation - Comfort with interpreting research papers and architecture diagrams of Language Models - Familiarity 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, with strong working knowledge of numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. - SQL skills with SQL Server and Spark experience preferred - Knowledge of predictive/prescriptive analytics including Machine Learning algorithms and deep learning algorithms - 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, and ability to thrive in a quick-paced, innovative environment - Experience with cloud platforms such as Azure, AWS, Databricks is preferred You are a highly skilled and experienced Senior Generative AI Data Scientist who is passionate about pushing the boundaries of AI innovation. Your main responsibilities will include: - Developing and maintaining advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability - Implementing and optimizing Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions - Developing advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts, and evaluation - Collaborating with cross-functional teams to integrate AI functionalities into broader systems and applications - Utilizing AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency - Staying updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities - Assisting delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success Qualifications required for this role include: - Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience - 6+ years of experience in data science - Experience with LLMs like Llama (1/2/3), Mistral, T5, Langchain or a similar framework - Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts, and evaluation - Comfort with interpreting research papers and architecture diagrams of Language Models - Familiarity 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, with strong working knowledge of numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. - SQL skills with SQL Server and Spark experience preferred - Knowledge of predictive/prescriptive analytics including Machine Learning algorithms and deep learning algorithms - 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, and ability to thrive in a quick-paced, innovative envi