Machine Learning Engineer

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.