As a ML Engineer, you will:
- Understand user needs and business opportunities and
- Identify where Artificial Intelligence (including GenAI) can bring the greatest impact.
- Contribute to the implementation of the AI strategy and roadmap for the company.
- Support the planning and oversee the implementation of tooling used to deploy and host ML models.
- Share your knowledge with colleagues to boost machine learning and strengthen our AI community.
Responsibilities include:
- Applying machine learning methods (including deep learning and GenAI) to develop solutions addressing impactful business needs.
- Providing hands-on support in Computer Vision and/or NLP tasks.
- Ensuring quality and robustness of AI system outputs.
- Collaborating with team members to productionize end-to-end ML solutions.
- Applying Generative AI technologies.
- Proficiency in Python with the ability to translate ideas into prototypes.
- Experience working in a cloud environment (e.g., AWS).
- Experience with Agile methodologies (e.g., Scrum) and project management tools (e.g., JIRA).
- Strong interpersonal communication skills to effectively communicate with non-technical audiences.
- Staying current with the latest advancements in ML and GenAI technologies.
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