✨ The Role in One Sentence

neoshare is seeking a Senior MLOps Engineer to scale AI into production, ensuring efficient model deployment and continuous improvement.

📋 What You'll Likely Do

• 30%: Design and maintain scalable MLOps infrastructure for model deployment, versioning, and monitoring.

• 30%: Develop and optimize model serving infrastructure for real-time inference and API-based AI services.

• 20%: Establish AI observability and monitoring practices to track model drift, accuracy, and reliability.

🧑‍💻 Profiles Doing This Job

• High Priority: 5+ years in MLOps, AI infrastructure, or DevOps.

• High Priority: Deep expertise in AWS and Helm deployments.

• High Priority: Strong background in AI/ML pipeline orchestration.

📈 How This Role Will Look on Your CV

• Scaled AI models into production, ensuring efficient deployment and monitoring.