Crisil - Data Science Lead

Data Science Lead: Master Deep Learning Models Executioner

Are you a data enthusiast with a knack for large language models (LLM) and Computer Vision? How about working with GPT4, LLAMA 2 and Yolo ? We're on the hunt for a Data Science Lead who can wield the power of these models to transform our business processes and drive efficiency.

Your mission should you choose to accept: Collaborating with business leaders to dissect their needs, and whip up solutions that don't just meet, but surpass their expectations. As the go-to guide for our junior data scientists, you'll impart your knowledge, fostering a culture of innovation and excellence.

What will your day look like?

- Take the helm of data science projects, focusing on designing, developing, and deploying solutions that revolve around computer vision, text mining, and fine-tuning large language models such as GPT4, LLAMA 2, and Falcon.

- Make the most of state-of-the-art frameworks like OpenCV, spaCy, and especially Hugging Face Transformers to sift through unstructured data and extract invaluable insights.

- Manage the complete lifecycle of data science projects, from data acquisition and preprocessing to model development and assessment, all the way through to deployment and monitoring.

- Hone your communication skills, liaising with business owners and stakeholders to pinpoint their requirements, present results, and provide recommendations.

- Stay ahead of the curve with the latest advances and trends in data science, AI, and particularly large language model fine-tuning.

What's in your toolkit?

- A bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field.

- 6 to 8 years of experience in data science, machine learning, or AI, with a special emphasis on large language models.

- Proficiency in Python and its data science libraries such as pandas, numpy, and scikit-learn.

- Experience in computer vision, text mining, and more importantly, fine-tuning large language models like image classification, object detection, sentiment analysis, and natural language generation.

- Hands-on experience deploying and maintaining data science solutions on cloud platforms like Azure, AWS, or GCP.

- A Kaggle profile that reflects your expertise.

- Excellent communication and presentation skills.

- The ability to balance independent and collaborative work in a fast-paced environment.

- Step into a role where you can flex your LLM skills, share your knowledge, and shape the future of our business.

Educational Qualification - Bachelor's or master's degree in computer science, statistics, mathematics, engineering, or a related field.