Lead Consultant-Senior Machine Learning Engineer-HMS048322

About this role

• Their work spans the full machine learning lifecycle, from data preparation and model development to deployment and monitoring.
• They utilize NLP and ML algorithms to power semantic search and recommendation engines, ensuring the models are scalable, efficient, and integrated seamlessly into the product ecosystem.
• Additionally, they write and optimize code for production environments, ensuring the robustness and reliability of ML services.
• Staying at the forefront of ML advancements, they continuously explore new technologies and methodologies to enhance model performance and functionality.
• Applying deep learning NLP and ML models to enhance search and recommendation engines
• Managing the ML lifecycle from data collection to deployment and monitoring
• Writing production-quality code for ML models as services and APIs
• Keeping up with the latest ML tooling and communities
  
  

• Graduate