Manager/Senior Manager - AI Data Scientist - Generative AI

Role Overview:

We are seeking a highly motivated and skilled AI Data Scientist with a strong background in data science, Natural Language Processing (NLP), and/or Computer Vision. In this role, you will be responsible for developing advanced AI models using deep learning and machine learning techniques to solve complex problems. Your expertise in NLP or Computer Vision will be instrumental in enhancing our AI-driven solutions.

Key Responsibilities & Skillsets:

- 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 pipeline 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.

Candidate Profile:

- 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.