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Chief ML Solutions Engineer
3 months ago
Lead Machine Learning Engineer Position – Remote Work Available
About Guided e-Learning
Guided e-Learning (GEL) stands as a premier provider of IELTS preparation services. Our innovative IELTS preparation platform has gained recognition from the British Council, co-owners of IELTS, ensuring that a significant number of IELTS candidates engage with GEL during their preparation journey. We proudly present IELTS Flex, the British Council's preferred choice for top-tier IELTS preparation. For further details on our application, please refer to IELTS Flex.
IELTS (International English Language Testing System) is the most widely recognized high-stakes English assessment utilized for immigration, employment, and educational purposes. Non-native English speakers aiming to study or migrate to English-speaking nations often find themselves needing to undertake the IELTS exam, which serves as a crucial gateway to their future.
We are seeking a Lead Machine Learning Engineer to join our team and spearhead the integration of AI/ML technologies within our organization, enhancing our application with advanced AI-driven features.
Key Responsibilities
Our application, IELTS Flex, assists students in preparing for IELTS English language assessments. We have developed an AI model that evaluates student tests and delivers constructive feedback, proving to be significantly more effective than generic LLMs or ChatGPT. We invite you to take ownership of this model, optimizing its performance and exploring new, cutting-edge projects to further enhance the app's AI functionalities.
As the Lead Machine Learning Engineer, you will oversee all AI & ML initiatives within our organization. You will have access to a consultancy partner for additional resources, and we aim to expand a small team around you to drive further AI & ML projects. Your work will encompass the entire ML lifecycle, from research and ideation to deployment and post-deployment optimization.
Your projects will involve utilizing LLMs, NLP libraries such as spaCy and Hugging Face transformers, developing recommender systems, and researching speech-to-text and text-to-speech challenges as our business evolves.
Collaborating closely with our in-house software engineering team and the leadership group, you will play a pivotal role in advancing our technology and ensuring that IELTS FLEX delivers the best possible experience for our users and clients. With a growing user base exceeding 500,000, your contributions will significantly enhance their experience.
Qualifications Required
- Extensive experience leading ML projects from conception to deployment
- Strong expertise in LLMs & NLP
- Familiarity with the Azure ecosystem
- Proficient in Python development
- Ability to translate research into commercial applications
- Exceptional communication skills
- Collaborative team player with the capacity to work independently when needed
Benefits
- Competitive salary aligned with market standards
- Permanent remote work options, as we are a remote-first organization
- Equity options after successful completion of probation
- Complete ownership of all AI & ML aspects within our organization
Next Steps
We have partnered with ADLIB to manage the recruitment process for Guided e-Learning. As a B Corp, they excel in attracting top candidates who possess the right skills and experience, coupled with a genuine desire to contribute to a purpose-driven organization that aims to make a positive societal impact.
Commitment to Inclusion
At GEL, we are dedicated to hiring individuals from diverse backgrounds who possess the passion and skills necessary to help us fulfill our company mission. We are committed to a hiring process free from judgment, prejudice, or bias.
We encourage all individuals to apply for our open positions. Factors such as gender identity, race, ethnicity, sexual orientation, age, or background do not influence our job application process.
We are actively working to cultivate an inclusive culture that empowers our team members to excel, enjoy their work, and feel a sense of belonging.