ML Engineer (Agents & Data)

We are looking for a Senior ML Engineer to join one of our core AI teams and work on a large-scale AI product with hundreds of thousands of active users.

This role is for a strong hands-on ML engineer who enjoys working with modern LLM systems, multimodal models, and production AI pipelines. You will work on building and improving large-scale machine learning systems, developing data pipelines, and experimenting with cutting-edge generative AI technologies.

Your main tasks will be:

• Design and build production-grade ML systems, including LLM-based applications and AI agents

• Develop and maintain scalable data pipelines for training and evaluating machine learning models

• Work with large multimodal datasets (text, images, video) and build efficient data processing workflows

• Improve model quality, evaluation pipelines, and automated metrics

• Implement and optimize training and inference pipelines, including GPU optimization where needed

• Experiment with modern generative AI approaches, including LLMs and multimodal models

• Collaborate closely with engineers and product teams to deliver robust ML solutions in production

• Continuously improve system performance, reliability, and scalability

We expect from you:

• 5+ years of hands-on experience in Machine Learning / AI engineering

• Strong Python programming skills and experience building production systems

• Experience working with LLMs, generative AI, or modern deep learning models

• Experience building data pipelines and processing large datasets

• Experience with distributed data processing frameworks (Ray, Spark, Dask, or similar)

• Solid understanding of model training, evaluation, and optimization techniques

• Ability to take ownership of solutions end-to-end and work independently

• Strong problem-solving skills and ability to operate in a fast-paced environment