Machine Learning Engineer

4 days ago

bangalore, India Galleon Consultants Full time

Job Summary:As a Machine Learning Engineer specializing in generative AI, you will be responsible fordesigning, developing, and deploying advanced machine learning models that generate high-quality, human-like content. You will collaborate with cross-functional teams to integrate thesemodels into our products, enhancing their capabilities and delivering exceptional value to ourclients.Key Responsibilities: Develop, train, and optimize generative AI models for various applications, including text,image, and audio generation. Collaborate with product managers, software engineers, and data scientists tounderstand project requirements and deliver robust AI solutions. Conduct research to stay updated on the latest advancements in generative AI andapply best practices to improve model performance. Implement and maintain scalable machine learning pipelines for training and deployingmodels in production environments. Evaluate and fine-tune models to ensure they meet performance, accuracy, andefficiency standards. Perform data preprocessing, augmentation, and annotation to prepare high-qualitydatasets for model training. Troubleshoot and resolve issues related to model performance, data quality, andintegration with other systems. Document model architecture, training processes, and performance metrics for internaland client-facing reports.Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, ArtificialIntelligence, or a related field. Proven experience in developing and deploying generative AI models using frameworkssuch as TensorFlow, PyTorch, or similar. Strong programming skills in Python and proficiency with machine learning libraries andtools. Familiarity with natural language processing (NLP), computer vision, and other relevantAI techniques. Experience with cloud platforms such as AWS, Google Cloud, or Azure for modeldeployment and management. Knowledge of data preprocessing, feature engineering, and model evaluationtechniques. Excellent problem-solving skills and the ability to work independently and as part of ateam. Strong communication skills to effectively convey technical concepts to non-technicalstakeholders.

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