Key Responsibilities:

• AI Platform Development: Build and maintain our AI platform to support scalable and efficient AI solutions, including API solutions.
• Model Maintenance and Monitoring: Maintain, monitor, and optimize existing AI models to ensure high performance and reliability.
• Web Development: Build demo websites using React or other web frameworks to showcase AI models and solutions.
• Model Deployment: Adapt and deploy custom AI models into production environments, ensuring they meet performance and scalability requirements.
• Project Migration: Replicate and integrate projects from one company to another, ensuring seamless functionality and integration.
• MLFlow Upgrades: Upgrade projects to new versions of MLFlow, managing dependencies and ensuring compatibility.
• Pipeline Optimization: Improve the response time of retrieval pipelines to enhance data processing efficiency.
• Collaboration: Work closely with data scientists, Gen AI engineers, software engineers, and stakeholders to clarify requirements and suggest improvements.
• Innovation: Stay updated with the latest AI/ML advancements to incorporate new techniques and technologies into our platform.
• Documentation: Create and maintain detailed documentation for systems, processes, and model deployments.

Requirements:

• Qualification: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• Experience: 3+ years of experience working with ML/AI technologies in production environments.
• AI/ML Proficiency: Strong understanding of machine learning algorithms and AI model deployment.
• Web Frameworks: Experience with React or other web frameworks for building interactive front-end applications.
• Backend Development: Proficiency in Python for backend development and integrating AI models.
• MLFlow Experience: Hands-on experience with MLFlow for tracking and managing machine learning models.
• Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or Google Cloud Platform.
• DevOps Skills: Knowledge of DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
• Problem-Solving Skills: Excellent analytical and troubleshooting abilities with attention to detail.
• Communication: Strong communication and collaboration skills to work effectively with cross-functional teams.
• Deep AI Interest: Demonstrated passion for AI/ML with a keen interest in staying abreast of industry trends.
• Continuous Learning: Proactive attitude towards continuous learning and professional development.

What's in it for you

• Competitive salary
• Employees' Provident Fund, medical and other incentives
• Unique working environment where you communicate and work directly with international clients
• Self-development opportunities