Job Description
Design and deliver machine learning solutions that combine modern research with practical deployment. Working across industries and use cases, contribute to building robust models that power client-facing tools and internal platforms. Develop End-to-End ML Models: Design, train, and evaluate models across supervised, unsupervised, and reinforcement learning domains tailored to diverse problem areas. Collaborate on Real-World Solutions: Work with engineers and data scientists to integrate models into deployable systems operating in production environments. Client-Focused Problem Solving: Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes. Explore, Iterate, Validate: Lead the exploration and analysis of datasets using tools like Pandas, NumPy, and Spark to inform model design and performance evaluation. Research-Driven Innovation: Identify opportunities to adapt state-of-the-art methods and productionize them to deliver measurable impact.