Lead end-to-end AI and Machine Learning initiatives, starting from business problem understanding, data exploration, model development, validation, and final deployment in production environments. Provide technical leadership to the data science team by reviewing models, guiding architecture decisions, ensuring best practices, and aligning solutions with business objectives. Design and develop advanced analytics solutions including predictive modeling, NLP applications, clustering, recommendation systems, graph analytics, and optimization techniques to solve complex industry problems. Build scalable ML pipelines, implement MLOps practices, ensure data security and compliance, and deploy solutions on cloud platforms such as AWS, Azure, or GCP.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed