Technologist, Data Engineering (AI/ML Architect, Framework,Machine Learning,Deep Learning, and Statistical Modeling)

We are seeking a highly experienced and visionary Senior Data Scientist at the Technologist level to lead strategic AI/ML and GenAI initiatives. This role demands deep technical expertise, leadership in complex projects, and a passion for innovation in data science and advanced analytics.

Key Responsibilities

• Lead the end-to-end data science lifecycle: problem definition, data acquisition, model development, deployment, and monitoring.
• Architect and implement scalable AI/ML solutions using modern frameworks, cloud platforms, and MLOps best practices.
• Drive GenAI initiatives including fine-tuning, prompt engineering, and integration into enterprise applications.
• Provide strategic direction and thought leadership on advanced analytics adoption across the business.
• Mentor, coach, and upskill a team of data scientists and engineers; foster a culture of innovation and collaboration.
• Partner with cross-functional teams (engineering, product, factory operations, IT) to translate business needs into data-driven solutions.
• Ensure model robustness, fairness, interpretability, and compliance with ethical AI standards.
• Design and oversee experimentation frameworks (A/B testing, causal inference, statistical modeling) for data-driven decision making.
• Stay ahead of emerging trends in AI, ML, and big data technologies; evaluate their potential for business impact.
• Present insights, models, and strategies to senior leadership and non-technical stakeholders in clear, actionable terms.