Senior Applied Scientist (AI)

TL;DR

Senior Applied Scientist (AI): Designing and optimizing scalable ML systems, particularly in computer vision and NLP/LLM applications, and developing and productionizing deep learning models. Focus on architecting solutions, deploying models in production environments, and driving innovation with new AI tools and methodologies.

Company

hirify.global combines world-class AI research with real-world applications in industries like insurance and automotive.

What you will do

• Design and optimise scalable ML systems, focusing on computer vision and NLP/LLM applications.
• Develop and productionise deep learning models using Python and modern ML frameworks.
• Lead cross-functional alignment of research, engineering, and product goals.
• Mentor junior team members and promote best practices in ML development.
• Collaborate directly with enterprise clients for seamless integration of AI solutions.
• Evaluate and implement new AI tools and methodologies to enhance performance and scalability.

Requirements

• Applied AI Expertise: 5+ years building ML systems, especially in computer vision.
• Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow).
• Hands-on experience deploying ML models in production environments.
• Knowledge of cloud platforms (ideally AWS) and scalable data pipelines.
• Ability to work across teams and communicate complex ideas clearly.
• Analytical thinking and a focus on continuous improvement.

Nice to have

• Experience applying AI in insurance, automotive, or similar sectors.
• Background in large language models (LLM) or conversational AI.
• Proven success scaling ML solutions in production.
• Track record of mentorship and technical leadership in data science teams.

Culture & Benefits

• Collaborate with brilliant minds on transformative projects.
• Contribute to technology that helps people when they need it most.
• Commitment to building a diverse team and inclusive workplace.
• Equal opportunities without discrimination.