We are looking for a highly experienced Machine Learning/Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms.
Requirements
- Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
- Drive applied innovation in Large Language Models (LLMs), Generative AI, and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
- Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
- Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
- Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
- Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
- Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
- Continuously optimize model performance for scalability, efficiency, and real-world reliability.
- Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
- Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
- Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.
Benefits
- Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
- Collaborate with top talent across diverse teams and disciplines.
- Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.
- Empowerment to create, elevate, grow, and care.
- Opportunities for career growth and development.
