Our client, a dynamic company in the Agri sector is looking to recruit a Machine Learning Engineer who will Design, build and maintain automated workflows that enable machine learning models to support the spectral service product offering, and leverage the company’s data for commercial benefit. The ideal candidate MUST have atleast 5 years of working experience preferably in the Agri sector and should demonstrate technology innovation and advanced technical skillset.
Key Requirements:
- Own the Machine Learning engineering efforts related to workflows in the team.
- Design, create, maintain and deliver well tested, production-ready spectral workflows being capable of scaling spectral services (API´s, dashboard interfaces, db´s and cloud services).
- Contribute to select appropriate regression and/or machine learning models to apply.
- Manage the ML lifecycle, including data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment and end-to-end workflow management.
- Define workflow architecture best practices and keep up to date with the evolving opensource frameworks.
- Contribute significantly to the growth and success of the company by finding scalable technological solutions.
Qualifications:
- Possess a bachelor’s degree or higher in a technical field, or compensating experience.
- Advanced technological skill set and a demonstrable history of technology delivery.
- Demonstrable experience with API and database development, collaborative machine learning/AI applications.
- At least 5 years of working experience preferably in agricultural space or other relevant areas.
- Excellent verbal and written communication and being a team player.
