Senior Artificial Intelligence Engineer
3 days ago
At Janes, we empower militaries, governments, and defence companies to make informed decisions with our cutting-edge open-source intelligence solutions.
We combine expert-driven tradecraft developed over 120 years with human-machine teaming to deliver assured data across military capabilities, equipment, events, countries, companies, and markets.
Our data model creates a framework of interconnected defence intelligence by linking millions of assured data points, enabling our customers to integrate all relevant data into a single environment for more complete and accurate answers.
As a Senior Machine Learning Engineer at Janes, you will play a crucial role in developing and implementing sophisticated artificial intelligence products. Your responsibilities will involve designing and constructing machine learning models, refining existing systems, and collaborating with cross-functional teams.
To thrive in this position, you must possess exceptional skills in statistics, programming, data science, and software engineering principles, as well as a strong understanding of machine learning concepts and algorithms.
Your goal will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology. In return, we offer a competitive salary range of $140,000 - $180,000 per annum, depending on experience, along with a comprehensive benefits package, including 27 days of annual leave, healthy half-day leave every 6 months, pension plan, private medical insurance, life cover, and access to GoodHabitz.
Key Responsibilities:
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
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