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Specialized ML role with mid-senior experience and niche GenAI skills yields moderate competition.
Core ML/GenAI skills transferable, but gaming online-safety focus increases domain specificity.
Explicit 7+ IT and 3+ ML years plus mandatory skills creates strict shortlisting.
Design, develop, and deploy ML solutions focused on Online User Safety for a gaming product.
Build and optimize ML/DL models for classification and prediction, including feature engineering and model evaluation.
Contribute to Generative AI and Agentic AI based solutions and maintain scalable ML pipelines.
7+ years of IT experience with at least 3 years in AI/ML roles.
Graduation or master's degree in Computer Science, Engineering, or related field.
Proficiency in Python and experience with ML frameworks and advanced ML techniques like Linear Regression, Logistic Regression, ANN, and model evaluation metrics.
Experience with ML solutions related to online safety, conversational systems, recommender systems, or similar domains.
Professional with 4-7 years of focused ML engineering experience including deep learning and AI model deployment.
Hands-on expertise in operationalizing ML models in production environments, particularly for user safety in gaming or similar interactive platforms.
Experience or familiarity with Generative AI and Agentic AI concepts, able to work cross-functionally to translate business requirements into AI solutions.