About the job
About the Role
At bjakcareer, we are pioneering an advanced AI system designed to comprehend context in conversations, orchestrate actions, and ensure continuous progress over time.
As a Principal Machine Learning Engineer, you will play a pivotal role in transforming research initiatives into robust, production-ready machine learning systems. This position encompasses the execution layer of our AI intelligence, focusing on training pipelines, inference systems, evaluation tools, and deployment processes.
Key Responsibilities
Develop and manage comprehensive ML pipelines covering data processing, training, evaluation, inference, and deployment.
Refine and customize models utilizing cutting-edge techniques such as LoRA, QLoRA, SFT, DPO, and distillation.
Design and operate scalable inference systems, optimizing for latency, cost, and reliability.
Create and sustain data systems that ensure high-quality synthetic and real-world training datasets.
Implement evaluation pipelines that assess performance, robustness, safety, and bias in collaboration with research leadership.
Oversee production deployment, focusing on GPU optimization, memory efficiency, latency reduction, and scaling strategies.
Work closely with application engineering teams to seamlessly integrate ML systems into backend, mobile, and desktop applications.
Make pragmatic decisions to enhance systems rapidly, leveraging insights from real-world usage.
Operate effectively under real production pressures: latency, cost, reliability, and safety.
