Description

You will drive industrial innovation by building end-to-end AI solutions, from engineering reliable data components to deploying and monitoring high-performance ML models in production.

Requirements

• •Degree in Data Science, Engineering, or related
• •Experience building production-grade ML systems
• •Proficiency in SQL and data modeling
• •Experience with Vector Indexes and LLMs
• •Experience with unified data/AI platforms
• •Fluent English language skills
• •Relevant cloud or data/AI certifications
• •Familiarity with Generative AI and MLOps
• •Passion for shaping tomorrow’s world

Tasks

• •Design and develop end-to-end ML pipelines
• •Maintain pipelines for batch and real-time use cases
• •Productionize ML models via APIs or batch inference
• •Implement telemetry, A/B testing, and drift detection
• •Set up automated monitoring for deployed models
• •Build reliable data preparation and feature engineering components
• •Optimize model training and inference performance
• •Manage hardware selection, caching, and vectorization
• •Apply quantization and develop scalable endpoints
• •Establish CI/CD workflows for ML systems
• •Contribute to platform standards and documentation
• •Create and maintain technical runbooks

Tools & Technologies

Benefits