Senior Machine Learning Engineer

📋 Description

• Lead productizing AI research into commercial-scale models.
• Build and refine ML platforms, ensuring reliability and scalability.
• Collaborate with researchers and engineers to deploy AI products that drive business impact.
• Architect high-performance ML systems and production-ready pipelines.
• Influence monitoring, testing, and deployment practices across teams.
• Mentor junior engineers and communicate complex concepts clearly.

🎯 Requirements

• 5+ years in AI/ML with deep learning systems and pipelines.
• Master’s or higher in CS, Math, Engineering, or related field.
• Proven track record productizing AI research into production models.
• Expertise in neural nets including transformers, CV, NLP, multimodal.
• Experience with PyTorch or TensorFlow; Python proficiency (scikit-learn, XGBoost, etc.).
• Experience with Spark and Google Cloud Platform; production ML systems at scale.

🎁 Benefits

• Competitive base salary with potential bonus.
• Medical, financial, and other benefits.
• Collaborative, diverse, inclusive culture.