Senior Specialist, Data Science & Artificial Intelligence II

Job Description

Design, develop, and deploy machine learning and Generative AI solutions to solve defined business problems, ensuring technical robustness, model performance, and responsible AI implementation.

• 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.
• Document model design, assumptions, risks, and validation results.
• Ensure compliance with data governance, cybersecurity, and ethical AI guidelines.
• Support monitoring, retraining, and lifecycle management of deployed models.

• Minimum Qualification:
  
  Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field.
• Minimum Experience:
  
  4–6 years in data science, machine learning, or applied AI roles.

• Python, SQL, ML frameworks (Tensor Flow, PyTorch, Scikit‑learn)
• Prompt engineering
• RAG pipelines & vector databases
• Model fine‑tuning and evaluation
• Data preprocessing & feature engineering
• Basic cloud deployment concepts
• MLOps / LLMOps fundamentals
• Analytical problem‑solving
• Results orientation
• Collaboration
• Continuous improvement
• Accountability