Senior Specialist, Data Science & Artificial Intelligence II

Job Description Roles & Responsibilities Key Accountabilities 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. Skills: Python, SQL, ML frameworks (TensorFlow, 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 Desired Candidate Profile 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. Company Industry MiningForestryFishing Department / Functional Area IT Software Keywords Senior SpecialistData Science & Artificial Intelligence II Get real-time job updates only on our App