Head of Machine Learning

Tasks

• Build and mentor machine learning team
• Collaborate with product and engineering teams
• Define generative ML research roadmap
• Deploy ML innovations to production systems
• Design generative model training pipelines
• Develop evaluation methodologies
• Engage external research community
• Establish technical standards and best practices
• Evaluate ML architectures and performance
• Evaluate emerging technologies for adoption
• Lead multimodal generative model research
• Optimize large scale training and fine tuning
• Recruit and retain ML talent
• Set performance metrics and career paths
• Translate ML concepts for non technical stakeholders

Perks/Benefits

• N/A

Skills/Tech-stack

AI ethics | Algorithmic Fairness | Audio integration | Cloud Computing | Deep learning | Distributed Training | Fine Tuning | Generative Models | Language Models | ML Architecture | MLOps | Machine Learning | Model Evaluation | Model Interpretability | Multimodal Generation | Performance optimization | PyTorch | Python | TensorFlow | Training pipelines | Video Generation