Data Scientist, Program Lead

Experience designing large\u2011scale AI/ML or GenAI architectures. Background in building highly scalable production ML systems. Familiarity with advanced statistical modelling and applied machine learning techniques. Experience guiding teams in high impact technical environments. Strong programming skills in Python or R and expertise with ML/DL frameworks. Experience with cloud platforms (Azure, AWS, or GCP) and big\u2011data technologies (e.g., Hadoop, Spark). Proven understanding of MLOps, model deployment, and ML fail\u2011safe principles. Hands\u2011on experience in leading projects using agile methodologies. Strong communication and stake holder management skills. 8-12 years of experience delivering enterprise\u2011scale data science and AI/ML solutions. Bachelor\u0027s, Master\u0027s, or Ph.D. in Computer Science, Data Science, Engineering, or a related field. Design, develop, and deploy end\u2011to\u2011end AI/ML and Generative AI solutions that support critical business needs. Build scalable machine learning architectures and evaluate modern tools, frameworks, and platforms to strengthen our data science ecosystem. Develop production\u2011ready models and deliver solutions on cloud environments (preferably Azure) using strong MLOps practices. Partner closely with data scientists, engineers, and business stakeholders to translate business problems into technical solutions with measurable impact. Lead technical design discussions, guide teams through complex AI/ML challenges, and foster a collaborative innovation culture. Establish monitoring, governance, and fail\u2011safe mechanisms to ensure model reliability and continuous improvement. Deliver rapid POCs and extract meaningful insights from diverse and complex datasets. Work Schedule: Standard business hours with flexibility to collaborate across teams.