Senior AI Engineer

📋 Description

• Design, build, and deploy scalable ML/AI systems in production and data pipelines.
• Collaborate with PMs, data scientists, and engineers to implement models.
• Lead model performance monitoring, retraining workflows, and continuous improvement.
• Lead data preprocessing and feature engineering for ML use cases.
• Build and optimize data ingestion pipelines and ML workflows.
• Ensure data reliability, quality, and performance across data systems.

🎯 Requirements

• 4–7 years of experience in AI/ML or Data Engineering.
• Strong programming in Python, Java, and SQL.
• Production-grade ML systems and data pipelines experience.
• Databricks, Apache Spark, or similar distributed processing.
• Cloud platforms: AWS, Azure, or GCP.
• ML frameworks: TensorFlow, PyTorch, scikit-learn; MLOps basics.
• Version control (Git) and CI/CD workflows.

🎁 Benefits

• Competitive salary
• Remote work with hybrid flexibility and home office stipend
• Coworking office subscription
• Health, dental, and life insurance
• Open vacation policy and flexible holiday schedule
• Paid parental leave
• Career development and training opportunities