Position: Lead Machine Learning Engineer
About Our Client: Our client is an innovative startup, Supported by leading institutions, they develop machine learning-driven software solutions that streamline complex industrial processes.
Role Overview: We are seeking an experienced Machine Learning Engineer with a strong background in Reinforcement Learning to lead a team of data scientists and developers. This pivotal role involves providing technical direction to ensure that technological initiatives align with business objectives. The position offers a blend of hands-on technical work and leadership responsibilities, with ample opportunities for professional growth.
Key Responsibilities:
* Design and implement reinforcement learning models to enhance production efficiency.
* Lead and mentor a team of data scientists and developers, promoting a culture of excellence.
* Integrate advanced algorithms into existing software infrastructure.
* Communicate technical strategies to investors, clients, and other stakeholders.
Qualifications:
* Proven expertise in Machine Learning, Reinforcement Learning, and advanced AI models.
* Proficiency in Python and experience with deep learning frameworks such as PyTorch or Jax.
* Experience developing models with complex time-series data.
* Ability to produce production-quality code and utilise modern development tools and methodologies (e.g., version control, CI/CD, containers) within cloud platforms like GCP, AWS, or Azure.
* Demonstrated leadership skills with a track record of managing technical teams.
Preferred Experience:
* Knowledge of process control or industrial operations.
* Background as a founder or early-stage engineer in a startup environment.
Culture and Benefits:
* Collaborate with a passionate founding team.
* Work in a transparent and collaborative environment that values professional development.
* Flexible working arrangements.
* Office located near major city landmarks.