Machine Learning Engineer

12 hours ago

Delhi, India Galleon Consultants Full time

Job Summary: As a Machine Learning Engineer specializing in generative AI, you will be responsible for designing, developing, and deploying advanced machine learning models that generate high- quality, human-like content. You will collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients. 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 to understand project requirements and deliver robust AI solutions.  Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.  Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.  Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.  Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.  Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.  Document model architecture, training processes, and performance metrics for internal and client-facing reports. Qualifications:  Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.  Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar.  Strong programming skills in Python and proficiency with machine learning libraries and tools.  Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.  Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.  Knowledge of data preprocessing, feature engineering, and model evaluation techniques.  Excellent problem-solving skills and the ability to work independently and as part of a team.  Strong communication skills to effectively convey technical concepts to non-technical - stakeholders.

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