Lead Specialist, Data Science&Artificial Intelligence II

<div><h3>Job Description</h3><p>Lead and develop end-to-end machine learning and Generative AI solutions, ensuring architectural integrity, technical excellence, and business alignment while mentoring team members and driving successful delivery.</p><h3>Key Accountabilities</h3><ul><li>Lead and actively develop ML, deep learning, and Generative AI solutions.</li><li>Design and implement LLM-based applications including RAG pipelines and embeddings strategies.</li><li>Own solution architecture from problem framing to production deployment.</li><li>Establish MLOps and LLMOps practices for deployment, monitoring, and retraining.</li><li>Define evaluation standards, guardrails, and AI safety controls.</li><li>Mentor team members and drive cross‑functional collaboration.</li><li>Ensure compliance with data governance and responsible AI standards.</li></ul><h3>Minimum Qualification, Experience And Competencies</h3><ul><li>Minimum Qualification</li><li>Bachelor’s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field</li></ul><h3>Minimum Experience</h3><ul><li>7–9 years of experience in data science and AI, including leading end-to-end ML and Generative AI initiatives.</li></ul><h3>Skills</h3><ul><li>Advanced ML&deep learning</li><li>LLM architecture design</li><li>API orchestration&system integration</li><li>AI safety&risk mitigation</li><li>Enterprise AI deployment</li><li>Cloud AI platforms (Azure, AWS, GCP)</li><li>Technical leadership&stakeholder engagement</li><li>Solution architecture thinking</li></ul></div>#J-18808-Ljbffr