Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Designing and optimizing scalable ML systems for real-world AI solutions across industries like insurance and automotive with an accent on computer vision applications, deep learning models, and production deployment. Focus on architecting solutions, building and productionizing models, and leading cross-functional alignment of research, engineering, and product goals.

Company

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

What you will do

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

Requirements

• 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 or conversational AI.
• Proven success scaling ML solutions in production.
• Track record of mentorship and technical leadership in data science teams.

Culture & Benefits

• Committed to building a diverse team and inclusive workplace where people’s varied backgrounds and experiences are valued and recognised.
• Encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.