
Senior AI Engineer with NLP Expertise
2 days ago
We are looking for a highly skilled Senior Data Scientist to join our team at SquareOne. As a key member of our AI department, you will be responsible for building AI-powered applications using cutting-edge technologies in Natural Language Processing (NLP) and Large Language Models (LLMs).
Responsibilities:- Collaborate with AI engineers, product owners, business analysts, and other developers in Agile teams to integrate LLMs into scalable, robust, fair, and ethical end-user applications, focusing on user experience, relevance, and real-time performance.
- Design, develop, customize, optimize, and fine-tune LLM-based and other AI-infused algorithms tailored to specific use cases such as text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc.
- Design data pipelines to curate, preprocess, and structure datasets that improve LLM-based algorithms performance and reduce biases, with a focus on data quality and diversity.
- Perform thorough data exploration to understand dataset characteristics, uncover patterns, detect biases, and identify data quality issues; use statistical and visualization techniques to inform feature engineering, model selection, and optimization of LLM-based applications.
- Support prompt engineers, business analysts, and subject matter experts in crafting and optimizing prompts to guide LLM outputs, enhancing performance for specific tasks.
- Conduct rigorous experimentation, including A/B testing, to evaluate algorithm performance against benchmarks and control groups; use metrics specific to generative AI as well as pre-GenAI techniques, as required.
- Apply software development best practices, including writing unit tests; contribute to configuring CI/CD pipelines, containerizing applications, setting up APIs, ensuring robust logging, experiment tracking, and model monitoring.
Requirements:
- Mastery of machine learning, deep learning, and Python programming.
- Experience with PyTorch, TensorFlow, and scikit-learn.
- Familiarity with cloud platforms, especially AWS and Azure.
- Strong background in statistics, mathematics, and computer science.
- Excellent analytical and problem-solving skills.
- Ability to communicate complex ideas clearly to both technical and non-technical audiences.
Benefits:
- Innovative environment with cutting-edge AI technologies.
- Growth opportunities through high-impact AI use cases.
- Diverse and inclusive team culture that values collaboration and innovation.
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