ML Engineer: Build Scalable AI & Real-World Impact

Be at the forefront of innovation by joining a leading AI research firm, building ML models that power products and drive decision-making at scale.

• Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch
• Work on supervised, unsupervised, and reinforcement learning problems
• Clean and process large datasets to extract insights and train algorithms
• Perform feature engineering to improve model accuracy
• Design ML pipelines and automate model deployment
• Collaborate with software engineers to integrate models into applications
• Use MLOps practices for monitoring, retraining, and lifecycle management
• Conduct A/B tests and measure real-world model performance
• Stay up to date with the latest research and apply new methods
• Optimize models for inference speed and memory efficiency
• Evaluate ethical concerns and ensure fairness and transparency
• Contribute to technical documentation and academic publications
• Participate in data governance and model risk committees
• Present model results and impact to stakeholders
• Work on innovative use cases like personalization, forecasting, and predictive maintenance