Senior Specialist, Data Science & Artificial Intelligence

Job Summary

Design, develop, and deploy machine learning and Generative AI solutions to address defined business problems. Ensure technical robustness, model performance, and responsible AI implementation across the organization.

Responsibilities

• Develop, test, and validate machine learning, deep learning, and Generative AI models including LLM-based applications.
• Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
• Perform feature engineering, model tuning, and performance optimization.
• Prepare, cleanse, and transform structured and unstructured datasets.
• Support deployment of ML and GenAI models using MLOps and LLMOps practices.
• Conduct structured evaluation of LLM outputs including hallucination detection and quality scoring.
• Integrate AI solutions via APIs into enterprise systems.
• Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.

Requirements

• Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field.
• 4–6 years of experience in data science, machine learning, or applied AI roles.
• Proficiency in Python and SQL.
• Experience with ML frameworks including TensorFlow, PyTorch, and Scikit-learn.
• Knowledge of prompt engineering and RAG pipelines with vector databases.
• Capability in model fine-tuning and evaluation.
• Expertise in data preprocessing and feature engineering.
• Understanding of basic cloud deployment concepts.
• Familiarity with MLOps and LLMOps fundamentals.
• Strong analytical problem-solving, collaboration, and accountability skills.

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