Senior Machine Learning Engineer
Tasks
- Analyze and interpret large data assets
- Apply development and testing best practices
- Build AI prototypes
- Communicate business impact to stakeholders
- Conduct analytics
- Define and evaluate junior team deliverables
- Develop agentic AI solutions
- Develop deployable machine learning solutions
- Develop fraud detection solutions
- Develop predictive modeling solutions
- Evaluate emerging AI tools and technologies
- Lead projects through analysis design and deployment
- Package summarize and visualize findings
- Prepare datasets
Perks/Benefits
- Contributory pension
- Discounted travel options
- Employee discounts
- Enhanced maternity pay
- Enhanced sick pay
- Flexible benefits
- Gym membership
- Healthcare
- Income protection
- Learning opportunities
- Life insurance
- Paid time off
Skills/Tech-stack
Agent systems | Agentic AI | Cloud Computing | Data Analysis | Data Structures | Data Warehousing | Database Design | Dataset Preparation | Deep Neural Networks | Fraud Detection | GCP | Git | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Neural Networks | Partitioning | Predictive Modeling | Python | Query Optimization | Retrieval-Augmented Generation | SOLID principles | SQL | Software Engineering | Source Control | Statistical modeling | Vertex AI
Education
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