AI/ML Ops - Software Engineer

6 days ago

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Description

• As the AI/ML Ops / Software Engineer (Tech Lead), you will lead the architecture, development, and operations of AI/ML infrastructure. • Develop and deploy scalable machine learning models, focusing on automating and optimizing the ML Software Development Lifecycle (ML SDLC). • Responsible for building AI/ML Ops practices and frameworks to support the rapid and reliable transition of models from research into full-scale production environments. • Collaborate with engineering, product, and data teams to ensure that AI solutions are fully integrated into product features.

Requirements

• 10+ years of experience in AI engineering or machine learning infrastructure, with significant experience leading end-to-end AI model development and deployment in production environments. • Strong experience with modern MLOps frameworks and practices, including automated model deployment, monitoring, and lifecycle management. • Proven ability to work closely with AI Product Researchers to transform cutting-edge research into scalable, real-world AI solutions. • Deep expertise in LLMs, transformers, and advanced recommendation systems, with hands-on experience in building and optimizing models using open-source frameworks such as PyTorch and TensorFlow. • Proven leadership experience in managing engineering teams, guiding architecture decisions, and driving AI strategy at the enterprise level. • Excellent communication skills, with the ability to collaborate with AI researchers, engineers, product managers, and business stakeholders to deliver impactful AI solutions.

Benefits

• Offers Equity