AI Data Scientist

Your job

• You should be a highly motivated and skilled AI Data Scientist with a strong background in data science, Natural Language Processing (NLP), and/or Computer Vision.
• You will be responsible for developing advanced AI models using deep learning and machine learning techniques to solve complex problems.
• You should have expertise in NLP or Computer Vision will be instrumental in enhancing our AI-driven solutions.
• Develop and implement state-of-the-art AI models using machine learning and deep learning techniques.
• Work with large datasets to extract insights, build predictive models, and optimize AI algorithms.
• Collaborate with cross-functional teams to define and solve business problems using AI and data science.
• Develop GenAI solutions for NLP involving LLM (Large Language Models) such as GPT, Flacon, and LLaMA among others, or for Computer Vision involving GANs, Diffusion models etc.
• Create and deploy end-to-end model pipelines in cloud infrastructure such as AWS, Azure, and GCP.
• Implement customized NLP techniques to understand and process unstructured text data.
• Utilize Computer Vision methodologies to analyze and extract information from images or videos.
• Research and stay up to date with the latest advancements in AI, NLP, and Computer Vision to apply innovative solutions.
• Communicate findings and results to non-technical stakeholders and provide actionable insights.
• Optimize and fine-tune AI models to improve their performance and accuracy.
• Ensure data privacy and security practices are upheld throughout the AI development process.

Capabilities

• A Master's or Ph.D. in a related field, such as Computer Science, Data Science, or a similar discipline.
• Strong experience in data science, machine learning, and AI model deployment.
• Proficiency in languages such as Python, SQL, PySpark and relevant libraries.
• Solid understanding of Gen AI models around NLP or Computer Vision and their applications.
• Excellent problem-solving skills and the ability to work on complex AI projects.
• Strong communication skills to convey technical concepts to non-technical team members.
• Experience with deep learning frameworks and tools (e.g., TensorFlow, PyTorch, LangChain).
• Knowledge of data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms and big data technologies is a plus.

Qualifications

Bachelor of Engineering, Bachelor Computer Science or Master Degree