About the job
Seeking a passionate, talented, and innovative Data Scientist with a strong drive for learning and exploration. This individual will be tasked with developing data science models utilizing AI, ML, and deep learning technologies, as well as creating a chatbot aimed at enhancing strategic decision-making processes.
Key Responsibilities
- Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
- Generative AI – Design and develop chatbot using cutting edge technologies.
- Model Creation & Algorithm Implementation: Identify critical model features, and model development using AI, ML and Deep learning, Time series forecasting algorithms.
- Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL).
- Results Synthesis & Industrialization: Present findings to the business and collaborate with AI engineers for model deployment.
- Coding & Debugging: Perform coding, debugging, testing, and troubleshooting throughout the application development process.
- Collaborate with other business team resources to identify, develop, test, and create new solutions/products.
Qualifications
- Minimum of 1-2 years of relevant experience in data science, demonstrating a track record of successful projects
- Strong proficiency with Large Language Models (LLMs) or other Generative AI
- Degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent
- Comprehensive understanding of AI, ML, and deep learning with experience in MLOps
- Proficiency in optimization, time-series forecasting, and reinforcement learning
- Experience with cloud computing in the context of ML and AI
- Proficient in programming languages including Python, TensorFlow, PyTorch, and other relevant AI frameworks.
- Experience in Natural Language Processing, Deep Learning, Transfer Learning, etc.
- Analytical self-starter with strong attention to detail and an eagerness to learn.
- Strong organizational and problem-solving skills to handle multiple complex projects across diverse areas.
- Familiarity with microservices and orchestration-based software such as Docker and Kubernetes
- Positive "can-do" attitude with the ability to work independently and collaboratively within a small group.
