Job Description

Senior ML Engineer

Date:

Aug 19, 2025

Location:

Chennai, IN

Requisition ID:

16779

Description:

Job Summary:

As a Senior Machine Learning Engineer specializing in generative AI, you will lead the design, development, and deployment of 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, mentor junior engineers, and drive the strategic direction of our AI initiatives.

Key Responsibilities:
Lead the development, training, and optimization of 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 complex 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. Mentor and guide junior machine learning engineers, fostering a culture of continuous learning and innovation.

Qualifications:
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-5 years of 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. Extensive experience with natural language processing (NLP), computer vision, and other relevant AI techniques. Proven experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management. Deep understanding 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.

Preferred Qualifications:
Extensive experience with GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other advanced generative models. Understanding of ethical considerations and bias mitigation in AI systems. Contributions to open-source projects or publications in relevant conferences/journals. Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. * Previous experience in a leadership or mentorship role within a technical team.