Ai/Ml Engineer (For A Product Based Company)

Full-time Computer Occupations

Key Objectives: Translate business problems into ML/AI solutions with measurable impact. Build and optimize production-grade ML models that are scalable and reliable. Ensure robustness, fairness, and efficiency in ML pipelines. Drive adoption of AI/ML best practices across the organization. Core Responsibilities Design and implement ML algorithms for prediction, classification, recommendation, NLP, or computer vision use cases. Collect, clean, and preprocess large datasets for model development. Develop, train, validate, and fine-tune machine learning / deep learning models. Deploy ML models into production using MLOps best practices (CI/CD pipelines, monitoring, retraining). Collaborate with cross-functional teams (data engineers, product managers, software developers) to integrate AI features into products. Continuously evaluate new ML techniques, frameworks, and research to improve model accuracy and performance. Document solutions, conduct knowledge-sharing sessions, and mentor jun...