Data Scientist

Design and implement complex Artificial Intelligence systems and neural network architectures to solve domain-specific problems.

Build, train, and fine-tune Natural Language Processing (NLP) models for text analysis, sentiment tracking, and language understanding.

Construct robust Predictive Modeling pipelines to extract insights, forecast trends, and evaluate risk profiles.

Write high-performance statistical scripts, data transformation functions, and model algorithms in Python.

Preprocess unstructured textual data, establish vector embeddings, and optimize feature extraction routines.

Collaborate with software engineering teams to integrate trained AI/ML models into production applications.

Perform regular model validation checks, accuracy evaluations, and hyperparameter optimization loops.

Masters or PhD in a relevant quantitative field (Data Science, Computer Science, AI, Computational Linguistics).

1-3 Yrs total experience, requiring 2+ years of hands-on experience in AI / ML specifically.

Deep practical mastery handling Python, NLP libraries, predictive algorithms, and statistical frameworks.

Strong baseline understanding of deep learning models, textual feature extraction, and predictive analytics.

High detail orientation combined with a systematic, research-oriented approach to building AI solutions.