Data Scientist

Support the end-to-end design and structural delivery of cutting-edge AI or Big Data solutions for global enterprise applications.
Research, configure, and fine-tune next-generation Generative AI workflows and custom GenAI pipelines.
Develop, test, and integrate advanced large language models (LLM) tailored to process automated text and workflow automation tasks.
Train and deploy scalable predictive patterns utilizing Deep Learning methodologies and neural structures.
Construct robust numerical computation pipelines and graph executions leveraging tools like Tensorflow.
Collaborate within cross-functional agile teams to deploy secure, production-grade intelligence features.
Document system settings, model optimization parameters, data handling choices, and API architectures thoroughly.

Degree in Engineering, Computer Science, Data Science, Information Systems, or an equivalent technical stream.
0–1 years of professional data engineering or machine learning experience, making it perfect for entry-level up to junior professionals.
Hands-on academic or industrial exposure working with Generative AI applications, LLM frameworks, and Deep Learning environments.
Practical understanding of neural network training libraries, particularly Tensorflow, alongside core big data systems.
High learning agility combined with advanced analytical troubleshooting and clear technical communication skills.