Senior Machine Learning Engineer

Looking for candidates from Product based companies and can join immediately or max in 15 days only apply

Position Overview :

As a MLE-2, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ML lifecycle from development to deployment, collaborate with cross-functional teams, and enhance AI capabilities to drive innovation and impact.

Key Responsibilities :

• Design and implement AI product features.
• Maintain and optimize existing AI systems.
• Train, evaluate, deploy, and monitor ML models.
• Design ML pipelines for experiment, model, and feature management.
• Implement A / B testing and scalable model inferencing APIs.
• Optimize GPU architectures, parallel training, and fine-tune models for improved performance.
• Deploy LLM solutions tailored to specific use cases.
• Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks.

Technical Requirements :

What You'll Do :

What You Need to Succeed :

(ref : hirist.tech)