As a Senior Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement and customer support. In this role, you will lead efforts to leverage GenAI techniques to address unique challenges within our company, including intelligently combing through time series data to look for anomalous behaviour through classical ML techniques. Imagine the next generation of IT services being offered not via dashboards or clicks or filters but in an interactive, conversational manner, backed by real-time analysis of the entire streaming data into an operating center. This vision is what you would make into a reality. You will build algorithms that analyze these millions of streaming data points, build a distributed, scalable, and high-performance system to serve the insights to the customer through a next-gen conversational UI/UX.

Responsibilities:

Strategic Collaboration:
Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the GenAI landscape, aligning data science initiatives with the organisation s objectives.
Metric Definition:
Define key performance metrics that accurately reflect the value delivered to end-users through GenAI solutions.
Intelligent System Design:
Apply deep expertise in machine learning, statistics, and advanced mathematics to conceptualize, experiment, and design intelligent systems powered by GenAI.
Big Data Processing:
Develop efficient systems capable of processing vast volumes of data, demonstrating proficiency in distributed programming frameworks like Hadoop and Spark.
ML/AI Architecture:
Collaborate closely with ML Engineers to design scalable systems and model architectures that enable real-time ML/AI services.
End-to-End ML Pipelines:
Take ownership of ML pipelines from start to finish, encompassing data pre-processing, model generation, cross-validation, and feedback sharing.

Qualifications

Qualifications:

A Bachelor s degree or higher in Computer Science, Statistics, Mathematics, or a related field, with a minimum of 10 years of relevant work experience.

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Senior Staff Engineer - Data Scientist