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.