AI Research Scientist

We are seeking an experienced AI Research Scientist with 5+ years of expertise in machine learning, deep learning and AI-driven innovation. You will lead research, prototype novel algorithms and develop AI solutions that push the boundaries of automation, intelligence and efficiency across industries.

Responsibilities

AI and machine learning research

• Conduct state-of-the-art research in AI and ML, including deep learning, reinforcement learning, generative AI and NLP.
• Explore and develop novel models, algorithms and architectures to solve complex real-world problems.
• Publish research findings in top-tier AI and ML conferences and journals.

Model development and experimentation

• Design, train and optimise models using frameworks such as TensorFlow, PyTorch, JAX and Hugging Face Transformers.
• Prototype scalable, efficient algorithms for computer vision, NLP, speech recognition, recommendation systems or financial AI.
• Carry out hyperparameter tuning, model evaluation and performance optimisation for production-ready models.

AI product innovation and strategy

• Work with data scientists, engineers and product teams to turn research into AI-driven applications.
• Develop prototypes and proofs of concept for integration into enterprise AI products.
• Track emerging technologies and identify opportunities for innovation and growth.

MLOps and AI deployment

• Work with MLOps teams to deploy research models into scalable cloud pipelines.
• Ensure model robustness, fairness and interpretability, following best practice for AI governance.
• Optimise models for real-time inference, distributed computing and edge deployment.

Technical leadership and mentorship

• Mentor junior AI researchers and data scientists.
• Lead workshops and knowledge-sharing sessions, and contribute to open-source research.
• Engage with academic institutions, AI communities and industry partners.

Preferred qualifications

• Ph.D. or Master’s in AI, Computer Science, Mathematics or a related field.
• 5+ years of hands-on AI and ML research experience in an academic, industry or applied research setting.
• Strong expertise in deep learning architectures such as Transformers, GANs, CNNs, RNNs and LSTMs.
• Experience with large-scale training, distributed computing and GPU-accelerated ML frameworks.
• Proficiency in Python, TensorFlow, PyTorch, JAX and libraries such as Scikit-learn.
• Knowledge of AI ethics, bias mitigation, explainable AI and model interpretability techniques.
• Patent filings, publications or conference presentations are a plus.

Why join us

• Work on cutting-edge AI and ML projects with a dynamic, innovative team.
• Build AI solutions that solve real business problems.
• Competitive salary, career growth and learning opportunities in a fast-moving field.