Lead a team of data scientists and ML engineers to design and implement AI-driven solutions.
Drive the AI/ML roadmap, ensuring alignment with business objectives and emerging technologies.
Collaborate with cross-functional teams (e.g., software engineers, domain scientists, and stakeholders) to integrate AI solutions into product pipelines.
Conduct advanced research in AI/ML methods, including supervised, unsupervised, reinforcement learning, and generative models.
Develop and deploy scalable ML models for large datasets, particularly in the areas of genomics, drug discovery, and healthcare applications.
Investigate new areas in deep learning, natural language processing (NLP), computer vision, and other AI methodologies to stay at the forefront of the field.
Lead the end-to-end development and deployment of machine learning pipelines, including model training, optimisation, testing, and monitoring.
Provide technical guidance and mentorship to junior scientists and data engineers.
Collaborate with external partners, and industry experts to foster innovation and leverage the latest advancements in AI.
Skills, knowledge and experience:
PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related field.
8+ years of experience in AI/ML, with a demonstrated track record in leading AI research projects or teams.
Expertise in ML algorithms, deep learning frameworks and large-scale data management.
Our doors are always open to fresh talent. If you’re ready to grow your career, work on exciting projects, and become part of a team that is passionate about creating innovative solutions, we want to hear from you.
Ready to Join Us?
Please contact us using the form below. We will respond to you within 24 hours.